Tag Archives: UiO

Postdoctoral Research Fellow in Planetary Sciences

Postdoctoral Research Fellow in Planetary Sciences

About the position

Position as Postdoctoral Research Fellow in Planetary Sciences available at Centre for Planetary Habitability at the Department of Geosciences at the Faculty of Mathematics and Natural Sciences.

Starting date as soon as possible but no later than October 1, 2024.

The appointment is a fulltime position and is for a period of three years (10% of which is devoted to required duties, usually in the form of teaching activities).

No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

Deciphering the planetary rock record to derive planetary evolution is the goal of this project. Water is defined as a crucial ingredient for habitable environments because it is a solvent and facilitates geological processes, chemical reactions and it could modulate climate conditions. On Earth it is present ubiquitously on the surface, while Mars shows clear morphological and mineralogical evidence that once liquid surface water existed. Even for the Earth’s moon recent observations indicate the presence of hydration and water features. What made Earth keep its water, why did Mars lose lots of its water and turned into an icy desert and what is the source of lunar hydration features? What could be the role of water in the surface-interior interactions, do we expect complex deep volatile cycles for Mars? Changes in the Earth’s atmosphere and climate are stored in the terrestrial rock record and the diversification and distribution of igneous and aqueous minerals on other planetary bodies similarly could document the evolution of environmental conditions on these objects. 

A successful candidate wants to explore evidence and fate of water on terrestrial planetary objects from the surface mineralogy and morphology. This requires remote sensing using multi-wavelength spectral methods, identification of relevant analogue settings among terrestrial rocks and potentially numerical and/or physical experiments on weathering and water-rock interactions. 

The candidate will work closely with Stephanie C. WernerAgata M. Krzesinska and other PHAB scientists.

The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period.

It is expected that the successful candidate will be able to complete the project in the course of the period of employment.

Qualification requirements:

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Applicants must hold a degree equivalent to a Norwegian doctoral degree in Planetary Sciences, Remote Sensing, Geosciences, Physics or other related quantitative disciplines.
  • Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are eligible for appointment.
  • Fluent oral and written communication skills in English.

We seek a candidate who has a background in studying the mineralogy of planetary surfaces mainly by means of remote sensing. This is a project that requires thinking outside the box and navigate multiple sub-disciplines while collaborating with Earth and other planets specialists.

Desired qualifications:

  • Proficiency with remote sensing spectral analysis of surface mineralogy (e.g., NIR, TES, GRNS)
  • Knowledge of water-rock interaction processes and mineralogy
  • Experience with numerical modelling of or performing experiments on weathering and other water-rock interactions would be an asset
  • Interest in exploring statistical or machine-learning algorithms
  • Experience with interdisciplinary research projects

Personal skills:

  • Independent thinking, creativity, leadership, and mentoring abilities
  • Good communication and interpersonal skills 
  • Ability to create and contribute to a well-functioning, inclusive and productive research environment
  • Strong quantitative and analytical skills

We offer:

  • Salary NOK 575 400 – 657 300 per annum depending on qualifications in position as Postdoctoral Research Fellowship (position code 1352)
  • Attractive welfare benefits and a generous pension agreement
  • Professionally stimulating working environment
  • Vibrant international academic environment
  • Postdoctoral development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

The application must include:

  • Cover letter (max 1 page statement of motivation, summarizing scientific work and research interest)
  • CV (summarizing education, positions, curatorial and databasing experience, administrative experience, other qualifying activity, and career breaks if relevant)
  • A research plan related to the above described research focus (up to 2 pages)
  • A complete list of publications and up to 5 academic works that the applicant wishes to be considered by the evaluation committee
  • Copies of educational certificates, academic transcript of records, including a copy of the PhD diploma or an official statement on the certified date of the successful defence (not award) of the PhD
  • Names and contact details of 2-3 professional references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English (or a Scandinavian language).

In assessing the applications, special emphasis will be placed on the documented, academic qualifications, as well as the candidates motivation and personal suitability. Interviews with the best qualified candidates will be arranged.

Formal regulations:

Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.

If an applicant has applied for and been granted funding for a fulltime research stay abroad while being employed as a Postdoctoral Research Fellow, the employment will be prolonged with the equivalent time as the research stay, but for no longer than of twelve months ( thus extending the employment to a maximum of four years)

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact persons:

For further information about the position please contact: Stephanie C. Werner, e-mail: stephanie.werner@geo.uio.no

For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad, e-mail: ole.rustad@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. 

Centre for Planetary Habitability (PHAB) is a Norwegian Centre of Excellence that provides a stimulating and well-funded research environment. PHAB’s main goal, based on detailed studies of Earth and our solar system, is to develop predictive models to identify habitable planets around other stars. PHAB research activities comprise three interrelated research themes: (1) Planets and Early Earth, (2) Modern Earth and (3) Exo-Earths. The centre was established in 2023 and will consist of approximately 70 full time and part time professors and researchers, PhD Research Fellows and Postdoctoral Research Fellows.

Deadline: 2024-02-29 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

PhD Research Fellow in Statistics

PhD Research Fellow in Statistics

About the position

Position as PhD Research Fellow in Statistics is available at the Department of Mathematics, Section for Statistics and Data Science. 

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Starting date no later than October 1, 2024.

The fellowship period is three years. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

The PhD position will be at the Section of Statistics and Data Science (https://www.mn.uio.no/math/english/research/groups/statistics-data-science/index.html) at the Department of Mathematics, University of Oslo (UiO) with Associate Professor Thordis Thorarinsdottir as main supervisor (https://www.mn.uio.no/math/english/people/aca/thordist/index.html). The section consists of 8 full time academic positions, 9 adjunct positions and approximately 15 PhD students and postdocs. The PhD position will be focused on methodological research in environmental statistics and/or machine learning. Possible topics include modelling of space-time environmental processes, non-stationary modelling of extremes in space and/or time, modelling of climate risk and methods for predictive model evaluation. Applicants are encouraged to contact Thordis Thorarinsdottir for a discussion of possible research topics. 

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Master’s degree or equivalent in Statistics (or related field with proven statistical competence)
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • A solid background in scientific computing, with programming skills in R or Python
  • Fluent oral and written communication skills in English

Desired qualifications:

  • Familiarity with branches of environmental statistics such as spatial statistics or extreme value statistics 
  • An interest in environmental applications

Candidates without a Master’s degree have until June 30, 2024 to complete the final exam.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educational system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

Personal skills

  • Good communication and collaboration skills 
  • The ability to work independently as well as in a group
  • The ability to create and contribute to a well-functioning, inclusive and productive research environment
  • An interest to work in an interdisciplinary research environment

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact: Associate Professor Thordis Thorarinsdottir, phone: +47 980 46 630, e-mail: thordist@math.uio.no

For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad,  phone: +47 22 85 13 87, e-mail: ole.rustad@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

The Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic.

We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff. The department represents a leading research environment in mathematical areas in Norway, and has a highly international profile.

Deadline: 2024-02-29 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

PhD Research Fellow in Risk and Stochastics

PhD Research Fellow in Risk and Stochastics

About the position

Position as PhD Research Fellow in Risk and Stochastics is available at the Department of Mathematics.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Starting date no later than October 1, 2024.

The fellowship period is three years. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

The PhD position is framed in the research group in Risk and Stochastics. The research carried out is strongly interdisciplinary and wide in methods. The PhD candidate will be joining the group in its research activity as described here:

The position is mostly intended within the areas of stochastic analysis, stochastic filtering, stochastic partial differential equations, stochastics in machine learning. These areas will be prioritized. The focus is on the development of original mathematical methods aimed at the modelling of complicated phenomena arising in applications both from natural and social sciences, this includes research within risk and control problems from engineering as well as from finance, energy finance, sustainable economics, insurance. To study such models, techniques from both deterministic and stochastic analysis as well as numerical analysis will be developed and used. Documented knowledge in the fields above is welcome.

The PhD fellow will work in a well-established and internationally oriented research group with high ambitions in research excellency. The group runs several research projects and is part of international research networks. This makes the environment vibrant and active. It is expected that the PhD fellow will take an active part both in research and in the section’s activities.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Master’s degree or equivalent in Mathematics.
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
  • Fluent oral and written communication skills in English.
  • A documented strong background at Master level in one or more of the following areas: stochastic analysis, stochastic (partial) differential equations, numerical methods in stochastics, probability and mathematical statistics.

Candidates without a Master’s degree have until June 30, 2024 to complete the final exam.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educational system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application may also include:

  • 1-3 letters of recommendation. These can be also sent directly to the contact person.

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.These can be in person or by Zoom.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact: Associate Professor Salvador Ortiz-Latorre, e-mail: salvadoo@uio.no, phone +47 22 85 58 65, mobile: +47 401 02 172.

For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad,  phone: +47 22 85 13 87, e-mail: ole.rustad@mn.uio.no.

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

The Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic.

We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff. The department represents a leading research environment in mathematical areas in Norway, and has a highly international profile.

Deadline: 2024-02-29 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

PhD Research Fellow in Quaternary Sedimentology

PhD Research Fellow in Quaternary Sedimentology

About the position

Position as PhD Research Fellow in Quaternary Sedimentology available at the Department of Geosciences, University of Oslo

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Starting date no later than October 1, 2024.

The fellowship period is 3 years.

A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

Our understanding of the formation of quick clay is largely based on studies done in the mid-20th century. Little is known about the role of the depositional environmental on the formation of the sensitive clay deposits. Mapping of quick clay is also to little degree based on sedimentological investigations.

The aim of the research project is to improve our understanding of the depositional environments and the fundamental processes that form quick clay deposits. Abundant data are available from a number of research sites in Norway (e.g., Tiller-Flotten, Øysand, Klett, Halden).      

The candidate will utilize/use the already existing data and complement it with new high-quality drill cores and new fieldwork campaign data. Laboratory experiments will also be part of the project. Much of the work will focus on the detailed characterization of the cored material, including sediment/pore structures, grain size, pore water chemistry, and microfossil analyses, etc. The work will be done in collaboration with and supervised by experienced researchers Department of Geosciences (University of Oslo), the Natural History Museum in Oslo (NHM), and The Norwegian Geotechnical Institute (NGI).  

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

We seek a highly motivated and competent candidate, with the following formal qualifications:

  • Master’s degree or equivalent in sedimentology, environmental stratigraphy,  or quaternary geology with a focus on sedimentary environments
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Fluent oral and written communication skills in English

Desired qualifications:

  • Knowledge in mineralogy
  • Knowledge in aqueous geochemistry
  • Experience in analytical methods
  • Knowledge in micropaleontology
  • Knowldge in clay mineralogy

Candidates without a master’s degree have until 30 June 2024 to complete the final exam.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educational system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

http://www.uio.no/english/research/phd/
 
http://www.mn.uio.no/english/research/phd/

Personal skills

  • Excellent collaboration skills and the ability to work in teams, and a driving license.

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma, transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact: Prof. Helge Hellevang, phone: +47 90613526, e-mail: helghe@geo.uio.no or Prof. Jens Jahren, phone: +47 22856611, e-mail:  jens.jahren@geo.uio.no

For questions regarding Jobbnorge, please contact: HR Adviser Ørjan Pretorius, e-mail: orjan.pretorius@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

The geosciences are the studies of the planet Earth and its comparative planetology; the atmosphere, the hydrosphere and cryosphere, the Earth’s surface and its interior. The Department of Geosciences conducts research and teaching in most of the domains of geoscience; geology, geophysics, physical geography, geomatics, hydrology, meteorology and oceanography. The Department is the broadest geoscience research and education environment in Norway. We perform research at a high international standard and have five ERC (European Research Council) research projects ongoing.
 

The Department encompasses six scientific sections; Meteorology and Oceanography, Geography and Hydrology, Study of sedimentary basins, Environmental geosciences. and Crustal Processes. We host now a third in the line of three Centre of Excellences:  PHAB – Centre for Planetary Habitability, and have a Norwegian Research School for PhD students (Research School for Dynamics and Evolution of Earth and Planets, DEEP).

The Department aims to contribute to the new and important UN Sustainability Development Goals, and are important contributors to IPCC (UN’s Inter-governmental Panel on Climate Change). The staff consists of 40 professors and associate professors, in addition to postdoctoral fellows, PhD students, researchers, technical- and administrative staff. The Department has around 200 employees.

Deadline: 2024-02-29 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

PhD Research Fellow in the futures of sustainable AI 

PhD Research Fellow in the futures of sustainable AI 

About the position

Position as PhD Research Fellow in the futures of sustainable AI available at the Department of Informatics. 

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Starting date no later than October 1, 2024.

The fellowship period is three (3) years.

A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

Artificial intelligence (AI) has had a major breakthrough and is currently routinely promoted as the solution to a wide range of social, economic, and environmental problems. At the same time, AI gives rise serious challenges in the same domains. For example, AI systems pose risks to the principles of equality and non-discrimination, they impact work and labour markets, and they have a significant carbon and environmental footprint. 

This position entails researching the potential and limitations of AI for shaping and promoting the sustainable development through the methods of futures studies. The candidate will develop and explore creative qualitative scenarios based on speculative fiction and science fiction, with a particular emphasis on the linkages between technological change and societal change. One example is how technology interacts with moral beliefs and practices through certain mechanisms that can be used in scenario development and analysis. Others are how AI systems can change and shape human relationships (e.g. trusting relationships, care, and loving relationships) and perceptions of what it means to be human. The specific scope and focus of attention will be developed by the candidate in collaboration with the supervisor and relevant collaborators.

The PhD candidate will be part of the Regenerative Technologies research group, an interdisciplinary group of researchers bringing different knowledges and skills to the project. The candidate must be comfortable with highly interdisciplinary work and should ideally have a good grasp of technologies combined with a knowledge of and interest in, for example, methods, theories and approaches from social science, humanities, design, and futures studies.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Required qualifications:

  • Master’s degree or equivalent in informatics, design, futures studies, so-cial sciences, humanities
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Fluent oral and written communication skills in English

Desired qualifications:

  • Experience or training in, for example, strategy, futures studies, scenario planning, sociotechnical analysis
  • An interdisciplinary educational background

Candidates without a master’s degree have until 30 June, 2024 to complete the final exam.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educa-tional system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

http://www.uio.no/english/research/phd/
 
http://www.mn.uio.no/english/research/phd/

Personal skills

  • Intellectually curious and open to a wide diversity of perspectives, theories, and methodologies
  • Creative, critical, and open to the exploration and serious consideration of radically different ways of organizing society and evaluation the role of technology in it

We offer

  • Salary NOK 532 200 – 575 400 per year depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • A research proposal (maximum 1500 words) describing a tentative agenda for the applicant’s ph.d. project as it relates to futures studies, sustainability, and artificial intelligence. This will be used to evaluate the applicant’s interests and alignment with the supervisors and research group, and will not necessarily be the basis of the final ph.d. project proposal.
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information please contact Associate Professor Henrik Skaug Sætra, phone: +47 997 35 224, e-mail: henrsae@ifi.uio.no

For questions regarding Jobbnorge, please contact HR Adviser Therese Ringvold,  e-mail: therese.ringvold@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. 

The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics. 

The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors.

 

Deadline: 2024-02-29 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD Research Fellow in Plant Reproduction and Developmental Biology

PhD Research Fellow in Plant Reproduction and Developmental Biology

About the position

Position as PhD Research Fellow in Plant Molecular Genetics available at the Department of Biosciences, University of Oslo.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Starting date no later than October 1, 2024.

The fellowship period is 3 years.

A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

Genomic imprinting is an epigenetic phenomenon giving rise to parent-of-origin allele specific expression that occurs mainly in placental tissue/endosperm in animals and plants and is hypothesized to be involved in the allocation of nutrient resources to the growing embryo. Although imprinting has evolved independently in plant and animal lineages, similar epigenetic mechanisms, including DNA methylation, histone tail modification, and sRNA-guided silencing mechanisms are conserved. In plants, genomic imprinting is hypothesized to be established in the gametes and reflected in parent-of-origin allele specific expression in the endosperm after fertilization [Hornslien et al. Plant Physiol. 2019]. 

Using temporal and spatial endosperm specific GFP markers and fluorescence-assisted nuclear sorting to study endosperm expression by allele-specific transcript profiling, we have shown that imprinting patterns can be established late in endosperm development and in specific domains, challenging the current hypothesis [van Ekelenburg et al. Plant Physiol. 2023]. These findings are supported by experimental evidence from hybridization crosses between different Arabidopsis species: Here, a parental-specific expression can be reversed by fertilization by a different species, suggesting a dynamic regulation mechanism that can act after fertilization [Bjerkan et al., Plant J. 2020]. We have established that using different species in hybrid crosses leads to diametrically opposite phenotypic consequences in the endosperm, thus allowing association of imprinting patterns to a phenotype [Bjerkan et al., Front. Plant Sci. 2023].

The objective of this phd-project is to elucidate the genetic and epigenetic networks underlying endosperm development, with a focus on the role and mechanisms of imprinted genes. Investigation of research questions and testing of hypotheses is facilitated by the molecular analysis of spatial and temporal imprinting panels from fluorescence-assisted nuclear sorting, and de novo analysis of a single nuclei seed transcriptome allowing parent-of-origin allelic resolution. In addition, the hybrid seed approach developed allows phenotypic inspection as well as manipulation of imprinting patterns as described above.  

The PhD Research Fellow will be part of an international project team, which includes molecular-, developmental- and evolutionary biologists, representing a diverse array of expertise ranging from phenotypic developmental analysis and the epigenetics of genomic imprinting to bioinformatics and molecular systematics.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

We seek a highly motivated and competent candidate, with the following formal qualifications:

  • Master’s degree or equivalent in Plant Molecular Biology, or Plant Developmental Biology, or a Master’s degree in Biology demonstrating experience relevant to the project
  • Or a foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Fluent oral and written communication skills in English

Desired qualifications:

  • The ideal candidate should have one or more of the following qualifications:
  • Well documented hands-on experience in molecular biology and genetics
  • Documented experience from experimental plant research, ideally related to genetic, epigenetic and phenotypic analysis of plant reproduction
  • Documented hands-on experience with bioinformatics and statistical analysis of high-throughput sequencing data

Candidates without a master’s degree have until 30 June 2024 to complete the final exam.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educational system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

http://www.uio.no/english/research/phd/
 
http://www.mn.uio.no/english/research/phd/

Personal skills

  • High motivation with the ambition to gain new insights and publish papers in leading, international journals
  • Good interpersonal skills and the ability to work as part of a team, as well as independently

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and how their research interests correspond to the announced position
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact: Paul Grini, phone: +47 99390210, e-mail: paul.grini@ibv.uio.no

For questions regarding Jobbnorge, please contact: HR Adviser Nina Holtan, e-mail: nina.holtan@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

Department of Biosciences (IBV) is one of nine departments at the Faculty of Mathematics and Natural Sciences. Research in the department is organised in five sections covering topics within biochemistry, molecular biology, physiology, cell biology, genetics, aquatic biology, toxicology, ecology, and evolutionary biology. Education across these topics is offered for around 350 bachelor, 250 master, and 120 PhD students. With 52 permanent professors/associate professors, post-docs, researchers, technical, and administrative personnel, the Department has a total staff of 340 from more than 30 different countries. The Department aims to maintain high international standards within both research and teaching. The new bachelor program in bioscience is the first of its kind to include programming and computational modelling as core elements.

Deadline: 2024-02-29 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

PhD Research Fellow in Natural Language Processing

PhD Research Fellow in Natural Language Processing

About the position

Position as PhD Research Fellow in Natural Language Processing available at the Language Technology Group (LTG) at the Department of Informatics, University of Oslo. 

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Starting date no later than October 1, 2024.

The fellowship period is three (3) years.

A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

The PhD project will focus on variety-aware machine translation in a broad sense. While there have been impressive improvements in the field of machine translation in recent years, most systems define their source and target lan-guages at a relatively coarse level (e.g. “English”, “Norwegian”) and do not take into account different types of variation that exist within these language denominations: national varieties (e.g. American vs. British English), writing forms (e.g. Bokmål vs. Nynorsk), dialects, historical varieties, learner language, simple/plain language, as well as different genres and styles.

Applicants have considerable freedom to define their research project within the area of variety-aware machine translation. Depending on the chosen variation type, different setups can be explored (variation on the source side, variation on the target side, or translation between two varieties of the same language). The research project should not only produce variety-aware machine translation models, but also contribute to the evaluation of such models. The application should contain a research proposal that specifies the research direction that the applicant wishes to take.

The LTG is an international and diverse group with a heavily machine-learning oriented research profile combined with an interest for linguistic analysis and knowledge. The LTG currently participates in the EU-funded HPLT project (https://hplt-project.org/), one of whose goals is to provide large datasets for training language and translation models. The LTG is also an active member of Integreat (https://www.integreat.no/), the Norwegian center of excellence for knowledge-driven machine learning. The group has access to excellent high-performance computing infrastructure.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Required qualifications:

  • Master’s degree in Natural Language Processing, Computational Linguistics, Computer Science with a specialization in NLP or ML, or equivalent (see University-specific requirements below)
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Documented previous experience with neural approaches to NLP
  • Fluent oral and written communication skills in English

Desired qualifications:

  • Competences in variational linguistics and/or translation technology
  • Prior experience with training and/or evaluating neural language and transla-tion models

Candidates without a master’s degree have until 30 June, 2024 to complete the final exam.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educa-tional system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

http://www.uio.no/english/research/phd/
 
http://www.mn.uio.no/english/research/phd/

Personal skills

  • We seek highly motivated, open-minded, and scientifically curious candidates
  • Candidates should be able to work independently, as well as in a team (with the supervisor or with fellow students)
  • Candidates should have strong written and verbal communication skills

We offer

  • Salary NOK 532 200 – 575 400 per year depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • Research proposal – specification of the candidate’s research project within the area of variety-aware machine translation (1-2 pages) 
  • CV (summarizing education, positions and academic work)
  • Copies of the original Bachelor and Master’s degree diploma, transcripts of records
  • Documentation of English proficiency (if applicable)
  • A piece of academic work (Bachelor’s thesis, Master’s thesis or part of it, or a publication) that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information please contact Associate Professor Yves Scherrer, phone: +47 228 40120, e-mail: yves.scherrer@ifi.uio.no

For questions regarding Jobbnorge, please contact HR Adviser Therese Ringvold,  e-mail: therese.ringvold@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. 

The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics. 

The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors.

 

Deadline: 2024-02-29 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD Research Fellow in Statistics

PhD Research Fellow in Statistics

About the position

Position as PhD Research Fellow in Statistics is available at the Department of Mathematics, Section for Statistics and Data Science. 

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Starting date no later than October 1, 2024.

The fellowship period is three years. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

The position is attached to the Section for Statistics and Data Science (https://www.mn.uio.no/math/english/research/groups/statistics-data-science/index.html) at the Department of Mathematics, University of Oslo (UiO). This section consists of eight full time academic positions, nine adjunct positions and many PhD-students and postdocs, making up a group of more than 30. Statistics at UiO is internationally recognized and is a major part of a recently funded centre-of-excellence (INTEGREAT). INTEGREAT, which has a focus on knowledge driven machine-learning, is funded from the Research Council of Norway (RCN) for ten years, and will include a large number of PhDs and postdocs.

The successful applicant will join the new interdisciplinary research project “PLUMBIN’: Developing solvents for unclogging the calculational bottleneck in high-energy physics” (https://www.mn.uio.no/fysikk/english/research/projects/plumbin/index.html), which was recently financed by the RCN (2022-2029). This project is a collaboration between members of the Section for Statistics and Data Science, and the Section for Theoretical Physics at the Department of Physics, and aims at making powerful computational tools for exploring the fundamental constituents of the Universe.

The announced doctoral fellowship position will focus on investigating the properties of classical and higher-order asymptotic inferential tools in the non-regular settings related to the search for new particles in the high-energy physics framework. In such settings, the likelihood is not directly associated with the distribution of a random variable, but it is computed by combining different pieces of likelihood, not necessarily independent to each other and related to experiments different in their nature. The presence of many nuisance parameters complicates the situation. As a result, the coverage of the confidence intervals based on the classical likelihood ratio test may be far from the nominal one. Modifications of the likelihood and corrections to the likelihood ratio test must be investigated and adapted to the specific context.

We would also like to look at the quantification of uncertainty in higher-order quantum field theory calculations in high-energy physics. No prior knowledge of high-energy physics is required.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Master’s degree or equivalent in statistics. Master’s degrees in high-energy physics or other quantitative topics are also admissible, as long as a competence in statistics can be shown.
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
  • A solid background in scientific computing, with programming skills in R or Python.
  • Fluent oral and written communication skills in English.
  • Good communication and collaboration skills, and the ability to work independently and in an interdisciplinary research environment.

Other desired qualifications include:

  • Familiarity with the asymptotic theory framework.
  • Experience with the use of pseudo-likelihoods and composite likelihoods.
  • An interest in the application of statistics to high-energy physics problems. 

Candidates without a Master’s degree have until June 30, 2024 to complete the final exam.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educational system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact: Associate Professor Riccardo De Bin, phone: +47 22 85 58 59, e-mail: debin@math.uio.no or Professor Are Raklev, phone: +47 414 52 597, e-mail: ahye@fys.uio.no.

For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad,  phone: +47 22 85 13 87, e-mail: ole.rustad@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

The Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic.

We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff. The department represents a leading research environment in mathematical areas in Norway, and has a highly international profile.

Deadline: 2024-02-29 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

PhD Research Fellow in Mechanics/Biophysics on the modelling of intracellular membrane dynamics

PhD Research Fellow in Mechanics/Biophysics on the modelling of intracellular membrane dynamics

About the position

Position as PhD Research Fellow in Mechanics/Biophysics is available at the section for Mechanics at the Department of Mathematics, University of Oslo.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Starting date no later than October 1, 2024.

The fellowship period is three years. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

A PhD Research Fellowship is available at the Department of Mathematics, Mechanics Division at the University of Oslo (UiO). The position is parts of large interdisciplinary projects which focuses on the development of mathematical models and numerical simulations of sequestration of material on intracellular membranes. More specifically, it will address the basic mechanochemical processes that regulate one of the most fundamental communication pathways in cell biology – the “self-eating” process of autophagy. Autophagy protects us from infections, cancer and neurodegerative diseases and has been shown to promote longevity in model organisms. The PhD work will involve theoretical modelling, in combination with numerical simulations to develop a digital twin of the cell experiments. It is planned that an active phase field model will be developed and solved numerically to advance our understanding of these membrane wetting dynamics. The PhD research fellowship will be part of the group of Prof. Andreas Carlson (https://acarlson-uio.github.io), where the work will be conducted in close collaboration with experimental cell biologists at Oslo University Hospital in the group of Prof. Harald Stenmark. The project will also involve international collaborations and is a unique opportunity to work in an interdisciplinary environment.

The PhD student will: 

  • Develop theoretical models for cell membrane dynamics, coupling elastic effects, fluid flow and the biological membrane composition.
  • Implement and solve numerically the theoretical membrane model.
  • Collaborate with experimentalists.
  • Develop independence and be self-driven to advance with their research project.
  • Work in an interdisciplinary team with expertise in mechanics, biology, physics and biophysics.
  • Follow our PhD program that include an educational component.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Master’s degree or equivalent in mechanics, fluid mechanics, biophysics, physics or applied mathematics. 
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
  • Excellent oral and written communication skills in English.

Other desired qualifications include:

  • Earlier involvement in interdisciplinary research projects or/and a strong background in biophysics or interfacial fluid mechanics will also be considered positively, as well as experience with programming.
  • A strong theoretical educational background in mathematics and continuum mechanics.

Candidates without a Master’s degree have until June 30, 2024 to complete the final exam.

Personal skills:

  • Good social and collaboration skills and ability to work independently and in an interdisciplinary scientific environment.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educational system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact: Professor Andreas Carlson, phone: +47 22 85 72 23, web: https://acarlson-uio.github.io, e-mail : acarlson@math.uio.no

For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad,  phone: +47 22 85 13 87, e-mail: ole.rustad@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

The Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic.

We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff. The department represents a leading research environment in mathematical areas in Norway, and has a highly international profile.

Deadline: 2024-02-29 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

PhD Research Fellow in Mathematics 

PhD Research Fellow in Mathematics 

About the position

Position as PhD Research Fellow in Mathematics is available at the Department of Mathematics.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Starting date no later than October 1, 2024.

The fellowship period is three years. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

We are looking for a talented student to be affiliated with one of the following research groups at the department: Algebra and Algebraic Geometry, Several Complex Variables, Geometry and Topology, Operator Algebras, and Computa-tional Mathematics and PDEs. The successful applicant must have research in-terests and background well aligned with the activity of at least one of these groups, and this should be described in the application. Details about the groups may be found using the following links:

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Master’s degree or equivalent in mathematics, and in particular within the fields of the relevant research groups.
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
  • Fluent oral and written communication skills in English.

Candidates without a Master’s degree have until June 30, 2024 to complete the final exam.

Personal skills:

  • Exceptional analytic skills
  • A good work ethic 
  • Being able to draw connections and see the broad picture 
  • Independent and creative thinking
  • Positive and enthusiastic
  • Willingness to contribute to a positive working environment 

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educational system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact: Professor Erlend Fornæss Wold, phone: +47 924 90 352, e-mail: erlendfw@math.uio.no or Professor John Christian Ottem, phone +47 22 85 59 30, e-mail: johnco@math.uio.no

For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad,  phone: +47 22 85 13 87, e-mail: ole.rustad@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

The Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic.

We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff. The department represents a leading research environment in mathematical areas in Norway, and has a highly international profile.

Deadline: 2024-02-29 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

Postdoctoral Research Fellow in high-resolution modelling of mixed-phase clouds

Postdoctoral Research Fellow in high-resolution modelling of mixed-phase clouds

About the position

Position as Postdoctoral Research Fellow available at the Department of Geoscience in the Section for Meteorology and Oceanography

Starting date no later than October 1, 2024

The appointment is a 50% position and is for a period of three years.

No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description / Project description / Development plan:

The postdoctoral fellow will be expected to run and analyze output from high-resolution model simulations of mixed-phase clouds using the Weather and Research and Forecast (WRF) model. The focus will be on two regions, namely the Arctic and the Southern Ocean. The postdoctoral fellow will also be expected to carry out comparisons of model output with available observational data sets in these regions and may be required to make model source code modifications to ensure that the mixed-phase clouds are well represented in the model.

The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period.

It is expected that the successful candidate will be able to complete the project in the course of the period of employment.

Qualification requirements:

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Applicants must hold a degree equivalent to a Norwegian doctoral degree in Meteorology /Climate Science. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment.
  • Fluent oral and written communication skills in English are a requirement, and mastery of a Scandinavian language is advantageous.

Desired qualifications:

The following qualifications will count in the assessment of the applicants:

  • Comprehensive background in cloud microphysics. 
  • Experience with common programming languages in the fields of meteorology and climate science (e.g., Fortran, Python).
  • Experience with handling and analyzing large data sets.
  • Experience with running and analyzing output from the WRF model.

Personal skills:

  • We are looking for someone who enjoys teamwork and collaboration, but the candidate must also be able to work independently

We offer:

  • Salary NOK 575 400 – 657 300 per annum depending on qualifications in position as Postdoctoral Research Fellowship (position code 1352)
  • Attractive welfare benefits and a generous pension agreement
  • Professionally stimulating working environment
  • Vibrant international academic environment
  • Postdoctoral development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

The application must include:

  • Cover letter (statement of motivation, summarizing scientific work and research interest)
  • CV (summarizing education, positions, pedagogical experience, administrative experience and other qualifying activity)
  • Copies of educational certificates, academic transcript of records
  • A complete list of publications and up to 5 academic works that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system, please follow the link “apply for this job”. Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English (or a Scandinavian language).

In assessing the applications, special emphasis will be placed on the documented, academic qualifications, the project description (whenever this is required in the call for applicants), and the quality of the projectas well as the candidates motivation and personal suitability. Interviews with the best qualified candidates will be arranged.

Formal regulations:

Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.

If an applicant has applied for and been granted funding for a fulltime research stay abroad while being employed as a Postdoctoral Research Fellow, the employment will be prolonged with the equivalent time as the research stay, but for no longer than of twelve months ( thus extending the employment to a maximum of four years)

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact persons:

For further information about the position please contact: Professor Trude Storelvmo, phone: +47 228 55819, e-mail: trude.storelvmo@geo.uio.no

For technical questions regarding the recruitment system, please contact: HR Adviser Ørjan Pretorius, e-mail: orjan.pretorius@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

The geosciences are the studies of the planet Earth and its comparative planetology; the atmosphere, the hydrosphere and cryosphere, the Earth’s surface and its interior. The Department of Geosciences conducts research and teaching in most of the domains of geoscience; geology, geophysics, physical geography, geomatics, hydrology, meteorology and oceanography. The Department is the broadest geoscience research and education environment in Norway. We perform research at a high international standard and have five ERC (European Research Council) research projects ongoing.

The Department encompasses six scientific sections; Meteorology and Oceanography, Geography and Hydrology, Study of sedimentary basins, Environmental geosciences. and Crustal Processes. We host now a third in the line of three Centre of Excellences:  PHAB – Centre for Planetary Habitability, and have a Norwegian Research School for PhD students (Research School for Dynamics and Evolution of Earth and Planets, DEEP).

The Department aims to contribute to the new and important UN Sustainability Development Goals, and are important contributors to IPCC (UN’s Inter-governmental Panel on Climate Change). The staff consists of 40 professors and associate professors, in addition to postdoctoral fellows, PhD students, researchers, technical- and administrative staff. The Department has around 200 employees.

Deadline: 2024-02-29 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

PhD Research Fellow in Mathematics

PhD Research Fellow in Mathematics

About the position

Position as PhD Research Fellow in Mathematics is available at the Department of Mathematics.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Starting date no later than October 1, 2024.

The fellowship period is three years. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

We are looking for a talented student to be affiliated with one of the following research groups at the department: Several Complex Variables and Operator algebras. The successful applicant must have research interests and background well aligned with the activity of at least one of these groups, and this should be described in the application. Details about the groups may be found using the following links:

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Master’s degree or equivalent in mathematics, and in particular within the fields of the relevant research groups
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Fluent oral and written communication skills in English

Candidates without a Master’s degree have until June 30, 2024 to complete the final exam.

Personal skills:

  • Exceptional analytic skills
  • A good work ethic 
  • Being able to draw connections and see the broad picture 
  • Independent and creative thinking
  • Positive and enthusiastic
  • Willingness to contribute to a positive working environment 

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educational system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact:  Professor Erlend Fornæss Wold, phone: +47 924 90 352, e-mail: erlendfw@math.uio.no

For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad,  phone: +47 22 85 13 87, e-mail: ole.rustad@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

The Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic.

We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff. The department represents a leading research environment in mathematical areas in Norway, and has a highly international profile.

Deadline: 2024-02-29 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

PhD Research Fellow in Materials Science

PhD Research Fellow in Materials Science

About the position

Position as PhD Research Fellow in Materials Science available at Centre for Materials Science and Nanotechnology (SMN),   Department of Physics, University of Oslo.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Starting date no later than October 1, 2024.

The fellowship period is 3 years.

A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

We are seeking a PhD research fellow with a genuine interest in materials physics and solar energy applications. You must be a team player with the ability to work well independently and in interdisciplinary scientific teams.

The position is part of the interdisciplinary flagship project SOLARIS, which addresses fundamental materials science for solar energy materials and solar energy harvesting with an application-oriented focus. In particular, photovoltaic and solar fuel production by photo- or PV-driven electrocatalysis will be investigated, for which novel functional compounds need to be discovered through combinatorial materials science.

The overall objective of SOLARIS is to significantly advance the field of solar energy materials science and by promoting the shift towards green economy in long-term perspective.

The Centre for Materials Science and Nanotechnology (SMN) comprises UiO’s focus on renewable energy, materials science, and nanotechnology. The Centre is an interdisciplinary collaboration between five research groups in physics and chemistry, and spearheads the MN Faculty’s efforts for sustainable energy solutions.

The successful candidate is expected to work as part of a team in SMN and together with other fellows in the SOLARIS project.

The PhD research fellow will utilize and develop non-standard approaches in photoelectron spectroscopy to improve our understanding of material and electronic properties relevant to solar energy harvesting. For example, depth-dependent XPS or photoemission measurements to determine band bending, interfacial band alignment, doping, etc. will be performed. This includes concurrent method development (e.g., advanced data handling and instrument modification).

As a PhD research fellow, your role will involve participating in measurement campaigns at synchrotron beamlines. You will also present experimental results at national and international conferences and workshops, providing opportunities to establish your scientific network. Additionally, you are expected to be the first author or contribute to the publication of results in peer-reviewed scientific journals.

The PhD research fellow will be affiliated with the semiconductor physics group LENS (Light and electricity from novel Semiconductors) with around 30 highly dedicated professors, researchers, postdocs, PhD fellow researchers, engineers, admin and master students.

The research group has an excellent infrastructure covering chemical, structural, optical and electrical characterization methods, device fabrication and simulations. The infrastructure includes the Micro- and Nanotechnology Laboratory (MiNaLab) with a clean room area in excess of 400 m2 with a multitude of modern fabrication and characterization facilities.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Master’s degree or equivalent in materials physics, nanoscience or materials science
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Fluent oral and written communication skills in English
  • Candidates without a Master’s degree have until 30 June, 2023 to complete the final exam
  • The position’s subject area may require licensing under the Norwegian Export Control Act. In order to be considered for the position, it is a prerequisite that UiO must be able to be granted such licence. Må også lenke til denne siden: https://www.uio.no/english/studies/admission/master/export-control.html

Desired qualifications:

  • Condensed matter physics background
  • Experience with relevant experimental methods and apparatus (including ultra-high vacuum, XPS, UPS, PEEM, ARPES, photoemission in general, synchrotron methods in general)
  • Experience with analytical and numerical evaluation of XPS and related data
  • Experience with hands-on equipment maintenance or upgrades

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educa-tional system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

http://www.uio.no/english/research/phd/
 
http://www.mn.uio.no/english/research/phd/

Personal skills

  • Good social, communication and collaboration skills
  • Ability to work independently and in an interdisciplinary scientific environment

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact:

Professor Holger Von Wenckstern, e-mail: h.von.wenckstern@fys.uio.no

Professor Justin Wells, e-mail:  j.w.wells@fys.uio.no

For technical questions regarding recruitmentsystem Jobbnorge, please contact:

HR Adviser Olga Holmlund, e-mail: olga.holmlund@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. 

Centre for Materials Science and Nanotechnology (SMN) is an interdisciplinary focus field for material and energy research at the University of Oslo. 

SMN has focused on basic research in renewable energy and environmentally friendly use of fossil energy sources. The center consists of research groups from the Department of Physics and the Department of Chemistry, has about 100 employees from around the world and manages more than 80 projects funded by the EU, the RCN and others.

Deadline: 2024-02-29 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

PhD Research Fellow in Materials Science

PhD Research Fellow in Materials Science

About the position

Position as PhD Research Fellow in Materials Science available at Centre for Materials Science and Nanotechnology (SMN), Department of Chemistry and Department of Physics, University of Oslo.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Starting date no later than October 1, 2024.

The fellowship period is 3 years.

A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

We seek a PhD Research Fellow with qualifications and interest in materials science and renewable energy conversion technologies.

The Centre for Materials Science and Nanotechnology (SMN) comprises UiO’s focus on renewable energy, materials science, and nanotechnology. The Centre is an interdisciplinary collaboration between five research groups in physics and chemistry, and spearheads the MN Faculty’s efforts for sustainable energy solutions.

The position is part of the interdisciplinary SOLARIS initiative which addresses solar energy harvesting and storage, including electrochemical energy conversion.

The PhD Research Fellow will be affiliated with the research groups Electrochemistry and Semiconductor Physics at the Departments of Chemistry and Physics, respectively. Both groups consist of around 30-40 highly dedicated professors, researchers, postdocs, PhD fellows, engineers, admin, MSc and exchange students.  The groups regularly organize social events including seminars and cabin trips with outdoor activities, relay race around Oslo, potluck and garden party.

The Electrochemistry group is among the world-leading in solid-state electrochemistry and the materials science of proton-conducting oxides for electrochemical energy conversion technologies such as proton ceramic fuel cells and electrolyzers. These technologies are central in the transition to renewable energy and in the electrification of industrial processes.

The research groups have excellent infrastructure covering chemical, structural, optical and electrical characterization methods, device fabrication and simulations. 

The infrastructure includes the Micro- and Nanotechnology Laboratory (MiNaLab) with a clean room area in excess of 400 m2 with a multitude of modern fabrication and characterization facilities.

The PhD Research Fellow will utilize combinatorial pulsed laser deposition (PLD) to fabricate thin films with compositional gradients – a novel method pioneered within SOLARIS by members of the Semiconductor Physics group. The thin films will be characterized with a range of structural, chemical and electrical characterization techniques to study fundamental relationships between materials properties and their performance as function of composition. The materials systems will be focused towards mixed ionic/electronic conducting oxygen/steam electrodes for proton ceramic electrochemical cells.

The PhD research work can be tailored according to the qualifications and academic interest of the top candidates including the possibility for combining experimental, simulation and theoretical methods.

The PhD research fellowship is part of the research project Combinatorial Materials Science for Protonic Electrochemical Energy Conversion (Comicon) funded by the Research Council of Norway. The project will also employ a postdoctoral research fellow which gives excellent opportunity for collaboration, in addition to working in teams across SMN and SOLARIS.

The PhD Research Fellow will also be able develop experience in project participation and management, and take part in collaboration with international research partners including exchange visits.

Qualification requirements

 

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Master’s degree or equivalent in physics, chemistry or materials science
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Fluent oral and written communication skills in English
  • Candidates without a Master’s degree have until 30 June, 2023 to complete the final exam
  • The position’s subject area may require licensing under the Norwegian Export Control Act. In order to be considered for the position, it is a prerequisite that UiO must be able to be granted such licence. Må også lenke til denne siden: https://www.uio.no/english/studies/admission/master/export-control.html

Desired qualifications:

  • Experience with thin film deposition techniques such as pulsed laser deposition (PLD) and magnetron sputtering
  • Experience with materials characterization by, e.g., X-ray diffraction (XRD), scanning electron microscopy (SEM), X-ray photoelectron spectroscopy (XPS), and/or electrical characterization techniques such as electrochemical impedance spectroscopy (EIS)
  • Experience with density functional theory (DFT) simulations
  • Strong data analysis skills, e.g., using Python or Matlab

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educa-tional system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

http://www.uio.no/english/research/phd/
 
http://www.mn.uio.no/english/research/phd/

Personal skills

  • Good social, communication and collaboration skills
  • Ability to work independently and in an interdisciplinary scientific environment

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Up to one letter of recommendation from a direct supervisor/mentor
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact:

Associate Professor Jonathan Polfus, phone: +47 228 40683, e-mail: jonathan.polfus@kjemi.uio.no

Professor Holger Von Wenckstern, e-mail: h.von.wenckstern@fys.uio.no

For technical questions regarding Jobbnorge, please contact:

HR Adviser Olga Holmlund, e-mail: olga.holmlund@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. 

Centre for Materials Science and Nanotechnology (SMN) is an interdisciplinary focus field for material and energy research at the University of Oslo. 

SMN has focused on basic research in renewable energy and environmentally friendly use of fossil energy sources. The center consists of research groups from the Department of Physics and the Department of Chemistry, has about 100 employees from around the world and manages more than 80 projects funded by the EU, the RCN and others.

Deadline: 2024-02-29 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

PhD Research Fellow in Information Systems on AI in the public sector/healthcare

PhD Research Fellow in Information Systems on AI in the public sector/healthcare

About the position

Two (2) positions as PhD Research Fellow in Information Systems are available at the Department of Informatics at the University of Oslo. 

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Starting date no later than October 1, 2024.

The fellowship period is three (3) years.

A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

The two positions are devoted to carrying out research on how digital technologies based on artificial intelligence (AI) are organized, implemented, and used in the public sector and healthcare. This involves developing a sociotechnical perspective on AI and performing empirical studies of the processes and consequences of implementing AI in organizational contexts.

Candidates for the two positions are expected to focus their project on one of the two following themes:

1. Organization and implementation of AI in public governance and public sector organizations. Within this theme, there are several possible research topics related to AI and digitalization of the public sector. This includes governmental policies and strategies for AI, the development and implementation of AI solutions in organizations, how AI can be used to automate and augment decisionmaking within governance and public service provisioning, as well as the consequences and implications of such processes.

2. The impact of AI on data work and care practices in healthcare. Within this theme, the candidate can address a range of different topics related to practical use of AI in healthcare. This includes the potential of AI to automate or augment clinical work process and care, the changing conditions for data work and diagnostic procedures, and the potential role redistribution between health professionals and patients. It is also possible to address the theme from a critical angle, for instance by investigating algorithmic bias and (mis)representation of minorities, and how this can be accounted for in the development and use of AI systems. 

Within these broad scopes, the candidates will in cooperation with the supervisor define a focused research project. Empirically, the research project is primarily intended to take place within the context of Norway. 

It is expected that the candidates will:

  • Use ethnographic and/or other qualitative methods for data collection and analysis, including participant observations and interviews. The candidates can also apply mixed or digital methods if appropriate.
  • Take a sociotechnical perspective and engage with theories from social science and/or the humanities to develop new insight into AI and its impact on work, organizing, and governance.
  • Become involved in ongoing projects on sociotechnical approaches to AI and digitalization in Norwegian healthcare / public sector organizations.

Through the research project and attending courses at the department, the candidates will work towards qualifying for a PhD degree in Information Systems (IS). The field is based on a long tradition of studying digital technologies and digitaliza-tion from a sociotechnical perspective and includes a vibrant research community investigating AI and organizing. While a background in IS is not required, it is expected that the candidates are highly motivated to do research within the field. This involves building up knowledge on IS theory and practice, developing IS research papers, and engage actively in this research community. It is not a requirement to have a background in Informatics or AI, but it is expected that the candidate has a research interest in digital technology and will develop insight into the principles of AI.

The candidates’ workplace will be in the Information Systems Research Group at the Department of Informatics. The candidate is expected to be an active member of the group and participate in its core activities. This allows the candidate to build on the group’s close relationship to HISP, a global network supporting and researching digital health, education management, and climate health, where AI and data-driven decisionmaking are important areas of research. The Department of Informatics also has several strong research groups working on machine learning and AI, from both technical and sociotechnical perspectives. 

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Required qualifications:

  • Master’s degree or equivalent in relevant discipline, for example within Information Systems, Informatics, Social Science, or the Humanities. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
  • Fluent oral and written communication skills in English
  • Proficiency in Norwegian or another Scandinavian language
  • Documented background in qualitative methodologies including data collection methods, analytical approaches, and theory-informed interpretative research

Desired qualifications:

  • Knowledge of research related to Information Systems: e.g., digital innovation, information infrastructures, critical data studies, science and technology studies.
  • Strong interest in engaging with social or humanities-based theory to under-stand digital and AI-based technology and its implications.

Candidates without a master’s degree have until 30 June 2024 to complete the final exam.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educa-tional system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

http://www.uio.no/english/research/phd/
 
http://www.mn.uio.no/english/research/phd/

Personal skills

  • You are driven by curiosity of how AI will impact organizations and society and you want to explore and develop relevant ideas and concepts to understand it.
  • You have, or are open to, developing communication skills across various research disciplines.
  • You have the capacity to conduct empirical research and are resilient to cope with setbacks in the process.
  • You are a team player who is interested in co-developing research ideas and in playing an active role in the team – yet you also work independently.

We offer

  • Salary NOK 532 200 – 575 400 per year depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
  • A research proposal that describes the aims of the PhD research (Maximum 3 pages)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information please contact Associate Professor Alexander Kempton, alexansk@ifi.uio.no or Associate Professor Troels Mønsted, monsted@ifi.uio.no 

For questions regarding Jobbnorge, please contact HR Adviser Therese Ringvold,  e-mail: therese.ringvold@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. 

The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics. 

The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors.

 

Deadline: 2024-02-29 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

PhD Research Fellow in Integrative Machine Learning for Gene Prioritization

PhD Research Fellow in Integrative Machine Learning for Gene Prioritization

About the position

Position as PhD Research Fellow in Integrative Machine Learning for Gene Prioritization available at the research group of Scientific Computing and Machine Learning (SCML) at the Machine Learning Section of the Department of Informatics, the Faculty of Mathematics and Natural Sciences.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Starting date no later than October 1, 2024.

The fellowship period is three (3) years.

A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

A 3-year position with a flexible starting date, no later than October 1st, 2024, is available for a Ph.D. candidate at the intersection of machine learning and genomics in the research group of Scientific Computing and Machine Learning (SCML) at the Machine Learning Section of the Department of Informatics.

Our project explores gene prioritization, an essential aspect of systems bi-ology, where genes are meticulously detected and assessed for their potential links to diseases or phenotypes of interest. The project aims to significantly contribute to annotating overlooked genes, illuminating their func-tions with greater accuracy and confidence. Addressing the challenge of underperforming machine learning models in practical gene prioritization scenarios is the primary motivation behind this PhD project.
The primary focus of the PhD project is the development of integrative machine learning strategies employing multi-omics data to enhance the accuracy and efficiency of gene prioritization methods and contribute significantly to understanding the functional roles of genes in complex biological systems.

The successful candidate will be involved in conceiving, designing, develop-ing, and implementing pipelines with supervised algorithms focused on multiomics data and guided by prior biological mechanistic knowledge through advanced ML architectures such as transformer-based models. An additional focus is placed on ensuring the explainability of ML model out-puts, fortifying transparency and interpretability. 
Furthermore, we aim to make methodological and theoretical contributions to the field by addressing critical challenges, including a shortage of posi-tive samples, label uncertainty, the lack of negative labels, managing bi-ased information, and exploring appropriate evaluation metrics and strate-gies for gene prioritization models.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Required qualifications:

  • Master’s degree or equivalent in bioinformatics, computational biology, com-puter science, or a related field, with a focus on machine learning. 
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Fluent oral and written communication skills in English

Desired qualifications:

  • A strong interest in bioinformatics and a desire to utilize machine learning in computational biology
  • Advanced analytical and problem-solving skills, with the capacity to analyze complex datasets and extract meaningful insights
  • Strong background in machine learning
  • Proficiency in programming languages such as Python and R
  • Experience with data preprocessing, feature engineering, and model evalua-tion techniques
  • Experience in at least one of the following technical fields: Linux and bash scripting, High-performance computing, Large-scale data processing, and Large-scale software development
  • Proficiency in data manipulation libraries (e.g., pandas/NumPy) and machine learning frameworks (e.g., PyTorch/Tensorflow/Keras) is a plus
  • Experience in omics data analysis and pathway/network analysis is highly ad-vantageous
  • Experience with explainable AI (e.g., SHAP/LIME) and data fusion is highly advantageous
  • Familiarity and experience with genomics and bioinformatics are a plus but not essential

Candidates without a master’s degree have until 30 June, 2024 to complete the final exam.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educa-tional system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

http://www.uio.no/english/research/phd/
 
http://www.mn.uio.no/english/research/phd/

Personal skills

  • Excellent communication skills
  • The ability to think critically and creatively to navigate challenges
  • The ability to work collaboratively, cross-disciplinary aptitude
  • Robust organizational and interpersonal competencies

We offer

  • Salary NOK 532 200 – 575 400 per year depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information please contact Associate Professor Pooya Zakeri, phone: +47 92954475, e-mail: zakeri@ifi.uio.noa

For questions regarding Jobbnorge, please contact HR Adviser Therese Ringvold,  e-mail: therese.ringvold@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. 

The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics. 

The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors.

 

Deadline: 2024-02-29 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD Research Fellow in Experimental Nuclear Physics for medical applications

PhD Research Fellow in Experimental Nuclear Physics for medical applications

About the position

Position as PhD Research Fellow in Experimental Nuclear Physics for medical applications is available at the Department of Physics. The position will be a part of the Norwegian Nuclear Research Centre (NNRC).

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Starting date no later than October 1, 2024.

The fellowship period is 3 years. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

One of the research focuses of the Nuclear Physics group is the application of nuclear physics for medical applications. This pertains to studies of novel production pathways for medically relevant radionuclides. Such radionuclides are used for a range of current cancer procedures, whereby the decay radiation is used for diagnostic and/or treatment purposes. Unlike external beam therapy, which is performed on predetermined sites on the patient, the biomolecules employed by targeted radionuclide therapy are attracted towards cancerous cells throughout the body. This enables the simultaneous treatment of unidentified, secondary malignant growths. In particular, this project is focused on emerging alpha-emitting radionuclides for targeted alpha therapy (TAT): an exciting new treatment modality for cancer.

This research topic has a clear societal impact and is one of the main research topics of the Norwegian Nuclear Research Centre (NNRC), which is focused on strengthening Norway’s research capacity and competence in nuclear science. The project will be conducted in collaboration with the University of California—Berkeley, which is a partner within the NNRC and a long-standing collaborator of UiO. The candidate is expected to contribute to and take part in activities organised by the Centre.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Required:

  • Master’s degree or equivalent in physics, with specialization in experimental nuclear physics
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • A scientific profile relevant for the nuclear structure research program as outlined above
  • A solid background in scientific computing, including proficiency in Python programming
  • Fluent oral and written communication skills in English

Desired:

Several qualifications are considered strongly desirable and will be used in the ranking of the candidates:

  • Experience with gamma-ray detectors
  • Experience with data-analysis techniques relevant for extracting absolute cross sections and stacked-target experiments
  • Familiarity with data analysis tools such as Curie and/or ROOT
  • Experience with using nuclear-reaction codes which are commonly used to predict the reaction cross sections for medical isotope production, e.g. TALYS, TENDL, CoH, ALICE and EMPIRE

Candidates without a Master’s degree have until 30 June, 2024 to complete the final exam.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educational system
  • Fluent oral and written communication skills in English
  • For candidates who would like to apply for a fourth year including teaching, good knowledge of Norwegian or another Scandinavian language is strongly preferred.
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

http://www.uio.no/english/research/phd/
 
http://www.mn.uio.no/english/research/phd/

Personal skills

  • Good communication skills
  • Ability to work in an international research environment
  • Ability to work independently

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, previous positions and academic work)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records 
  • Documentation of English proficiency
  • List of any publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
  • Applicants who are interested in teaching need to add to this application a description of their motivation for and (if any) experience with teaching.

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews will be part of the hiring process.

The research area for the position may include technologies referred to in the Ministry’s export control regulations and all candidates will be evaluated in accordance with these regulations.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information please contact: Professor Sunniva Siem, e-mail: sunniva.siem@fys.uio.no

For questions regarding Jobbnorge, please contact HR Adviser Elin Thoresen,  e-mail: elin.thoresen@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. 

The research at the Department of Physics covers a broad range of subfields within physics and technology: From space research to medical physics.

A good proportion of the research is interdisciplinary, and conducted in close cooperation with collaborators in Norway and abroad. Education and teaching are other essential activities. We offer a broad range of courses, and the Department is involved in several study programmes at bachelor’s and master’s level. Some of the best lecturers in Norway are amongst our employees, and we are proud of our prizewinning teaching and learning environment. The Department has 200 employees, of which 50 are permanent scientific positions. On a yearly basis 20 students complete their Ph.D. and 50 finish their M.Sc. degree.

Deadline: 2024-02-29 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

PhD Research Fellow in marine plankton ecology

PhD Research Fellow in marine plankton ecology

About the position

Position as PhD Research Fellow in marine ecology available at the Section for Aquatic Biology and Toxicology (AQUA), Department of Biosciences, University of Oslo.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Starting date no later than October 1, 2024.

The fellowship period is 3 years.

A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

The role of disease is generally understudied in pelagic ecology. Our group aims to understand the role of parasites of zooplankton and their effects on biogeochemical processes, population dynamics, and community composition. We are seeking a candidate who will use state-of-the-art high-throughput imaging devices in combination with traditional plankton sampling to examine responses to environmental gradients and fluctuations on scales relevant to the individual plankton and their parasites.

The candidate will observe fine-scale dynamics of zooplankton, including short-lived parasite stages or rare groups typically underrepresented in net samplings. Results will be used to test available model predictions of key traits and population dynamics of zooplankton hosts and parasites. Results may also be combined with larger-scale data from Skagerrak and Kattegat and our existing meta-barcoding data sets from ongoing projects (e.g. POICE project, RCN) to examine how large-scale distributions depend on fine-scale responses to the environment and how parasites mediate dynamics.

The candidate will be based in Oslo and will conduct fieldwork in Drøbak and Oslofjorden. He/she will develop the project together with the supervisors. The candidate is expected to engage in outreach activities and collaborate actively in the research group, including with national and international scientists.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Master’s degree or equivalent in in biology relevant to this PhD project (e.g., marine or aquatic biology, biological oceanography, marine parasitology, plankton ecology or similar).
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Fluent oral and written communication skills in English

Desired qualifications:

  • A solid background in one or preferably several of the following topics: i) plankton ecology, ii) marine parasitology, iii) image analysis or iv) biostatistics
  • Strong practical and analytical skills, and experience with zooplankton ecology and large data sets. A documented ability to perform field and laboratory work, as well as of experience with data-intensive workflows such as bioinformatics or statistical data analysis with R, Python, Matlab, or similar programming languages and environments.
  • Personal suitability and motivation for the position are key. We seek a highly motivated candidate with excellent oral and written communication skills in English and preferably a Scandinavian language. Social and collaborative skills are important, as the suitable candidate must be able to work both independently and in collaborative settings within an interdisciplinary and international scientific environment.
  • Pedagogic experience is an asset.

Candidates without a master’s degree have until 30 June 2024 to complete the final exam.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educational system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

http://www.uio.no/english/research/phd/
 
http://www.mn.uio.no/english/research/phd/

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter
  • A separate 1-2 page statement of the applicant’s research interests related to the project and motivation for applying for the position
  • CV (summarizing education, positions and academic work , including scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact: Professor Josefin Titelman, phone: +47 22 854501, e-mail: Josefin.Titelman@ibv.uio.no or Researcher Jan Heuschele, phone: +47 46371954, e-mail: janheu@uio.no or Researcher Svenja Christiansen email: svenja.christiansen@ibv.uio.no, phone: +47 22854242

For questions regarding Jobbnorge, please contact: HR Adviser Nina Holtan, e-mail: nina.holtan@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

Department of Biosciences (IBV) is one of nine departments at the Faculty of Mathematics and Natural Sciences. Research in the department is organised in five sections covering topics within biochemistry, molecular biology, physiology, cell biology, genetics, aquatic biology, toxicology, ecology, and evolutionary biology. Education across these topics is offered for around 350 bachelor, 250 master, and 120 PhD students. With 52 permanent professors/associate professors, post-docs, researchers, technical, and administrative personnel, the Department has a total staff of 340 from more than 30 different countries. The Department aims to maintain high international standards within both research and teaching. The new bachelor program in bioscience is the first of its kind to include programming and computational modelling as core elements.

Deadline: 2024-02-29 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

PhD Research Fellow in Elastohydrodynamics of Soft Robotics

PhD Research Fellow in Elastohydrodynamics of Soft Robotics

About the position

Position as PhD Research Fellow in Mechanics is available at the Mechanics Division at the Department of Mathematics, University of Oslo.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Starting date no later than September 1, 2024.

The fellowship period is three years.

The position is part of a large tecno-convergence project funded by the Research Council of Norway that focuses on the development of sustainable soft adhesion robots. More specifically, the project has an ambitious aim to demonstrate the feasibility and longevity of the production of vibration-based soft robots. At the core of the project lies an understanding of the elastohydrodynamics of the adhesion cup, requiring the development of a fundamental understanding of the coupling between the fluid flow and the elastic deformations of the soft robot. The PhD fellowship will be involved in the development of new theories and computational predictions of the fluid-structure interaction and/or the experimental development of the robot. The project also involves local collaboration with the Norwegian Institute for Sustainability Research (NORSUS) as well as international research groups.

The PhD student will: 

  • Develop theoretical models and numerical simulation tools for the elastohydrodynamics and/or experimental realization of the soft adhesion robot.
  • Directly involved with integrating experiments and computational predictions in the research team.
  • Develop independence and be self-driven to advance with their research project.
  • Work in an interdisciplinary team with expertise in mechanics, complex fluids, physics and biophysics.
  • Follow our PhD program that include an educational component.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Master’s degree or equivalent in mechanics, fluid mechanics, physics or applied mathematics.
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system.
  • Excellent oral and written communication skills in English.
  • Earlier involvement in interdisciplinary research projects or/and a strong background in fluid and/or solid mechanics will also be considered positively, as well as experience with programming or experiments.
  • A strong theoretical educational background in mathematics and continuum mechanics.
  • Good social and collaboration skills and ability to work independently and in an interdisciplinary scientific environment.

Candidates without a Master’s degree have until August 1 2024 to complete the final exam.

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educational system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Documentation of English proficiency if applicable (please see admission criteria)
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact: Professor Andreas Carlson, phone: +47 22 85 72 23, web: https://acarlson-uio.github.io, e-mail : acarlson@math.uio.no

For questions regarding Jobbnorge, please contact HR Adviser Ole Rustad,  phone: +47 22 85 13 87, e-mail: ole.rustad@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.

The Department of Mathematics is part of the Faculty of Mathematics and Natural Sciences at the University of Oslo. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic.

We have almost 50 persons in permanent academic positions and a large number of post docs and Ph.D. students. We also have an administrative and technical staff. The department represents a leading research environment in mathematical areas in Norway, and has a highly international profile.

Deadline: 2024-02-29 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD Research Fellow in Semiconducting Complex Oxides for Next Generation Electronics

PhD Research Fellow in Semiconducting Complex Oxides for Next Generation Electronics

About the position

Position as PhD Research Fellow in Materials Science available at Centre for Materials Science and Nanotechnology (SMN), Department of Chemistry, University of Oslo.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Starting date no later than October 1, 2024.

The fellowship period is 3 years.

A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.

Knowledge development in a changing world – Science and technology towards 2030.

The Faculty of Mathematics and Natural Sciences

Job description

With the semiconductor industry getting close to the inherent limits of conventional silicon technology, there is a strong interest in designing and implementing new materials that can push and move the field beyond Moore’s law. A range of different strategies show great promise, including the use of complex oxides to enhance existing functionalities or generate completely new ones.

The current paradigm in transistor technologies makes use of metal-oxide-semiconductor field effect transistors (MOSFETs), usually based around doped silicon and a high-k insulator. This choice of materials offer several advantages with respect to processing and cost, but there are certainly other materials that can be used to enhance functionality and revolutionize the field. This paradigm-shift becomes a necessity when scaling of silicon is no longer an option, and we are rapidly approaching this crossroad.

A variety of challenges arise when moving to other material systems, most notably the difficulty of implementing more complex materials of sufficient quality in a cost-effective way and on a low thermal budget. At the research group for Nanostructures and Functional Materials (NAFUMA), we develop methods for the integration of complex oxides in electronic model systems. This is carried out using the atomic layer deposition (ALD) technique. ALD is a variant of chemical vapor deposition (CVD) where gaseous precursors are sequentially pulsed into the reactor, opening for self-limiting growth with extreme control of thin film thickness, conformality and uniformity. NAFUMA has taken a leading role in this development, and currently collaborates with several major industry players in the field.

In this PhD Research Fellowship, we seek a candidate who will take part in the development of new functional materials that shows promise in the coming electronics paradigm based on active oxides. We have already developed and implemented processes for complex oxide metals and insulators/ferroelectrics, and now seek to complete the trio by unlocking the potential of complex oxide semiconductors. This will enable full epitaxial integration of functional MOS/MFS-stacks.

The candidate will have the possibility to choose their own focus area within the field, in cooperation with group seniors. Depending on the candidate’s background and preferences, the project can be designed to have various focus on synthesis and characterisation of functional properties of functional properties.

Relevant tasks may be a combination of:

  • Development of novel ALD-processes for functional complex oxide semiconductors by ALD
  • Synthesis of novel precursors for use in complex oxide ALD processes
  • In-depth structural characterization of epitaxial complex oxide thin films, e.g. using x-ray diffraction techniques such as reciprocal space mapping
  • In-depth functional characterization of semiconducting complex oxide thin films, e.g. using 4-point probe and Hall measurements
  • Use of large facilities (synchrotrons, neutron sources) for in situ and in operando studies of semiconducting complex oxide thin films

This Phd Research Fellowship is funded by the Academia Agreement with the aim to develop new materials and material implementations for future generation electronics.

The PhD Research Fellow will be closely knit with the supervisors other projects and focuses, and in several cases work in a large team with colleagues at the University of Oslo and partners across Europe.

Centre for Materials Science and Nanotechnology (SMN) is an interdisciplinary centre, collaboration between five research groups in physics and chemistry, and spearheads the MN Faculty’s efforts for sustainable energy solutions. The Centre comprises UiO’s focus on renewable energy, materials science, and nanotechnology.

We seek a candidate that wants to pave the road as they explore, guided by a research group in the forefront of the field.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

  • Master’s degree or equivalent in physics, chemistry or materials science
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Fluent oral and written communication skills in English
  • Candidates without a Master’s degree have until 30 June, 2023 to complete the final exam
  • The position’s subject area may require licensing under the Norwegian Export Control Act. In order to be considered for the position, it is a prerequisite that UiO must be able to be granted such licence. Må også lenke til denne siden: https://www.uio.no/english/studies/admission/master/export-control.html

Desired qualifications:

  • Experience with thin film deposition of inorganic materials, preferably by atomic layer deposition or chemical vapor deposition
  • Experience with structural and/or functional characterization of thin films, e.g. using XRD, XPS, TEM, PPMS, ellipsometry, AFM and/or 4-point probes and Hall measurement instrumentation
  • Knowledge on semiconductors, and preferably complex oxide semiconductors

Grade requirements:
The norm is as follows:

  • The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • The Master’s thesis must have the grade B or better in the Norwegian educa-tional system
  • English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:

https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. 

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position.

For more information see: 

http://www.uio.no/english/research/phd/
 
http://www.mn.uio.no/english/research/phd/

Personal skills

  • We seek a candidate who is flexible, good at taking initiative and has excellent communication and interpersonal skills
  • Having to work in a setting with many co-workers, we seek a candidate who enjoys working in a team

We offer

  • Salary NOK 532 200 – 575 400 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
  • Attractive welfare benefits and a generous pension agreement 
  • Vibrant international academic environment
  • Career development programmes
  • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities

How to apply

The application must include:

  • Cover letter – statement of motivation and research interests.  The cover letter must describe how the candidates competence fits with the desired qualifications and what types of relevant tasks you most desire to explore in the PhD.
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of the original Bachelor and Master’s degree diploma and transcripts of records
  • Up to one letter of recommendation from a direct supervisor/mentor
  • Documentation of English proficiency if applicable
  • List of publications and academic work that the applicant wishes to be considered by the evaluation committee
  • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)

The application with attachments must be delivered in our electronic recruiting system (please follow the link “Apply for this job”). Foreign applicants are advised to attach an explanation of their University’s grading system. Please note that all documents should be in English or a Scandinavian language.

Interviews with the best qualified candidates will be arranged.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.

UiO has an agreement for all employees, aiming to secure rights to research results a.o.

Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.

If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.

Contact information

For further information about the position please contact:

Associate Professor Henrik H. Sønsteby, phone: +47 92097702, e-mail: henrik.sonsteby@kjemi.uio.no.

For technical questions regarding Jobbnorge, please contact:

HR Adviser Olga Holmlund, e-mail: olga.holmlund@mn.uio.no

About the University of Oslo

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. 

Centre for Materials Science and Nanotechnology (SMN) is an interdisciplinary focus field for material and energy research at the University of Oslo. 

SMN has focused on basic research in renewable energy and environmentally friendly use of fossil energy sources. The center consists of research groups from the Department of Physics and the Department of Chemistry, has about 100 employees from around the world and manages more than 80 projects funded by the EU, the RCN and others.

Deadline: 2024-02-29 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.