Kategoriarkiv: Physical sciences/Math

PhD Student in Signal Processing

Ref 1837-2022

Luleå University of Technology experiences rapid growth with world-leading expertise within several research domains. We shape the future through innovative education and groundbreaking research results and drawing on our location in the Arctic region, we create global societal benefit. Our scientific and artistic research and education are carried out in close collaboration with international, national and regional companies, public actors and leading universities. Luleå University of Technology has an annual turnover of SEK 1.9 billion. Today, we have 1,815 staff and 19,155 students.

In the coming years, multi-billion investments will be made in large projects in Northern Sweden to create a fossil-free society both nationally and globally. Luleå University of Technology is involved in several of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to build the sustainable companies and societies of the future.

Current research in Signal Processing takes place in the areas of measurement technology and wireless communications, in close cooperation with industry. In our research we seek to understand how to infer information from measurement data and how to reliably convey such information from one place or time to another. To strengthen our research in the field of non-destructive testing and material characterization, we are now looking for a PhD student.

Subject description
The subject includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related to applications and applied research.

Project description
Your project CoMPHyS is part of the graduate school Center for Hydrogen Energy Systems Sweden (CH2ESS). CH2ESS is a research and knowledge initiative at Luleå University of Technology, in close collaboration with Swedish industry in the hydrogen area.

Enabling a shift to fossil free steel production through the HYBRIT process requires that all parts of the Hydrogen value chain is well developed, including storage and transportation of hydrogen. Since hydrogen atoms and molecules are quite small compared to other elements, there are special requirements on materials used for storing hydrogen. In constructing storage vessels, several parts are welded together, where the welded joint is likely to be the weakest point. Producing sound welds with proper topography and microstructure is a commonly underestimated challenge in most construction work, even more critical for these applications.

Safe long-term operation requires novel non-destructive weld condition monitoring systems to be developed, which can monitor changes in the mechanical properties the welds.

The overall goal of the project is to develop algorithms an instrumentation for long-term, continuous, and automated Structural Health Monitoring (SHM) of welded joints in pressurized vessels.

For the SHM system to be practical, the data analysis also needs to be automated. The aim here is to develop analysis tools based on Artificial Intelligence (AI) and Machine Learning (ML). Sensor data will be transmitted to cloud-based AI systems and analyzed. In this way, the overall monitoring system can learn from data collected at several sites.

Duties
As a PhD student you are expected to perform both experimental and theoretical work within your research studies as well as communicate your results at national and international conferences and in scientific journals. Most of your working time will be devoted to your own research studies. In addition, you can have the opportunity to try the teacher role. As a researcher, you work as a neutral party in many contexts, which provides a great opportunity to be involved in challenging development projects. You will be part of the “Network of young scientists within Hyrdogen” within CH2ESS, and part of the Creaternity graduate school.

Qualifications
We are looking for an ambitious and creative colleague who wants to contribute to cutting edge research in signal processing oriented towards the above area(s), in close collaboration with the research subject Engineering Materials

You must have a M.Sc. degree in Engineering Physics, Electrical Engineering, Computer Science, or related areas, with a specialization in signal processing, ultrasonic measurement technology, mathematics, or similar. Experience in modern machine learning methods, practical experimentation, design of electrical measurement and instrumentation systems is of merit. You have a strong interest and preferably experience in our above profile research area and communication and working in a group comes naturally. We will also take into account your ability to fulfill postgraduate education.

For further information about a specific subject see General curricula for the Board of the faculty of science and technology.

Further information
Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%. Placement: Luleå.

For further information about the position, please contact Professor Johan Carlson, +46 920 49 2517, Johan.Carlson@ltu.se

Union representatives:
SACO-S Kjell Johansson, (+46)920-49 1529 kjell.johansson@ltu.se
OFR-S Lars Frisk, 0920-49 1792 lars.frisk@ltu.se

In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence.

Application
We prefer that you apply for this position by clicking on the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish.

Closing date for applications: June 5, 2022
Reference number: 1837-2022

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Post expires on søndag juni 5th, 2022

Doctoral student in Physical Chemistry with focus on magnetic resonance imaging

Logo for Lunds universitet

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Lund University, Faculty of Science, Department of Chemistry

Lund University was founded in 1666 and is repeatedly ranked among the world’s top 100 universities. The University has around 44 000 students and more than 8 000 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition.

Lund University welcomes applicants with diverse backgrounds and experiences. We regard gender equality and diversity as a strength and an asset.

Subject description

The proposed project “Studying neurodegeneration in humans using multidimensional diffusion-relaxation MRI” is a joint effort between Lund University (LU) and the National Institutes of Health (NIH), USA. The main goal is to elucidate the relationships between microstructure, chemical composition, and function in neuronal tissue, with a focus on neurodegeneration and neuroinflammation. The candidate will develop and implement novel imaging markers based on advanced yet clinically usable MRI methods and biophysical modeling, as well as their validation and translation into clinical applications.

Work duties

The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties can also include teaching and other departmental duties (no more than 20%).

The candidate will be enrolled at LU and take part in an exclusive Graduate Partnerships Program with the NIH, under the joint mentoring of Dr. Daniel Topgaard (LU) and Dr. Dan Benjamini (NIH). After completing up to 1 year in Lund under the direct supervision of Dr. Topgaard, the candidate will spend the remainder of the time at the National Institute on Aging (NIA) in Baltimore, MD, USA, under the direct supervision of Dr. Benjamini. It is therefore a prerequisite that the applicant is prepared to live and study in the USA, within the framework of the NIH Graduate Partnerships Program (https://www.training.nih.gov/programs/gpp/IndividualPartnership).

The overall aim of this international collaboration is to advance our understanding of normative aging and aging pathology related changes in brain microstructure using state-of-the-art multidimensional diffusion-relaxation MRI building on the mentors’ recent papers Benjamini et al., Brain 144, 800 (2021) and Martin et al., Neuroimage 245, 118753 (2021). The candidate will have access to multiple preclinical MRI systems (Bruker Neo 500 MHz at LU, Bruker Avance III 400 MHz and Bruker Neo 300 MHz at NIA) and clinical MRI scanners (Siemens 3T Prisma, Philips 3T MR7700 Ingenia, and Siemens 7T Magnetom Terra at NIH).

Admission requirements

A person meets the general admission requirements for third-cycle courses and study programmes if he or she:

  • has been awarded a second-cycle qualification, or
  • has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
  • has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

A person meets the specific admission requirements for third cycle studies in Physical Chemistry if he or she has:

  • At least 45 credits at advanced level with relevance for the subject.

Additional requirements:

  • Very good oral and written proficiency in English.
  • MSc or MEng in Chemistry, Physics, or equivalent.
  • Advanced skills in Matlab or Python programming.
  • Ability to live and study in the USA, which includes meeting the requirements for relevant visas.

Assessment criteria

Selection for third-cycle studies is based on the student’s potential to profit from such studies. The assessment of potential is made primarily on the basis of academic results from the first and second cycle. Special attention is paid to the following:

  1. Knowledge and skills relevant to the thesis project and the subject of study.
  2. An assessment of ability to work independently and to formulate and tackle research problems.
  3. Written and oral communication skills
  4. Other experience relevant to the third-cycle studies, e.g. professional experience.

Other assessment criteria:.

  • Documented experience in use of magnetic resonance in research, for instance a MSc degree project thesis, is a merit.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme.

Terms of employment

Only those admitted to third cycle studies may be appointed to a doctoral studentship. Doctoral studentships are regulated in the Higher Education Ordinance (1993:100), chapter 5, 1-7 §§. The university is obliged to make sure that funding for the candidate is secured for the entirety of the study time.

In this project, the doctoral candidate will be funded by a stipend within the framework of the NIH Graduate Partnerships Program during the time spent in the USA, while the candidate will be funded through an employment as doctoral student during the time spent at Lund University. In practice, this means that the candidate will be employed by Lund University upon admission to the studies, and then be on leave from the employment during the study time spent in the USA.

Instructions on how to apply

Applications shall be written in English and include a cover letter stating the reasons why you are interested in the position and in what way the research project corresponds to your interests and educational background. The application must also contain a CV, degree certificate or equivalent, and other documents you wish to be considered (grade transcripts, contact information for your references, letters of recommendation, etc.).

The Faculty of Science conducts research and education within Biology, Astronomy, Physics, Geosciences, Chemistry, Mathematics and Environmental Science. The Faculty is organized into nine departments, gathered in the northern campus area. The Faculty has approximately 1500 students, 330 PhD students and 700 employees.

We kindly decline all sales and marketing contacts.

Type of employmentTemporary position longer than 6 months
First day of employmentUpon agreement
SalaryMonthly salary
Number of positions1
Working hours100
CityLund
CountySkåne län
CountrySweden
Reference numberPA2022/1705
ContactDaniel Topgaard, +46462228204
Union representativeOFR/ST:Fackförbundet ST:s kansli, 046-2229362SACO:Saco-s-rådet vid Lunds universitet, 046-2229364SEKO: Seko Civil, 046-2229366
Last application date15.Jun.2022 11:59 PM CEST

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Post expires on onsdag juni 15th, 2022

Postdoc positions in Quantum Optics at the Niels Bohr Institute

Niels Bohr Institute
Faculty of Science

University of Copenhagen

One or two postdoc positions will be available at the QUANTOP center at NBI. The positions will strengthen the research within quantum state generation and control of optomechanical and hybrid systems. The successful candidates will have substantial experience in either experimental quantum optomechanics or in experimental quantum state generation and control in atomic systems. Experience in both areas is a plus. Knowledge of and experience in quantum noise characterization, quantum communication protocols and quantum control is required.

The postdoc’s duties will include research within Quantum Optics as well as teaching. The post may also include performance of other duties.

Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/. Inquiries about the position can be made to Prof. Eugene Polzik, polzik@nbi.ku.dk.

The positions are for 2 years and are open from November 1st or as soon as possible thereafter.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Terms of employment

The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

  • Curriculum vitae
  • Diplomas (Master and PhD degree or equivalent)
  • Research plan – description of current and future research plans
  • Complete publication list
  • Separate reprints of 3 particularly relevant papers

The deadline for applications is 22 (day) June (months)  2022 (year), 23:59 GMT +2. 

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Deadline: 2022-06-22 at 23:59
Unit: Faculty of Science

Read the job description at the university homepage or apply.

Post expires on onsdag juni 22nd, 2022

Postdoc in modelling carbon fixation in plants

 

Niels Bohr Institute
Faculty of Science
University of Copenhagen

The Niels Bohr Institute invites applicants for a 2-year Postdoctoral fellowship in modeling carbon fixation in plants. The project is a part of the DIRECT ( Data science driven leaf architecture optimization) collaboration with plant-scientists and computational biologists and will be led by Associate Professor Ala Trusina.

Start date is 1 August 2022 or as soon as possible thereafter.

The project
Photosynthesis, the biochemical process that converts carbon dioxide and water into oxygen and sugars in plant leaves, is the vital process to life on Earth. The intricate network of airspaces formed by the cells inside the leaf is critical for supporting photosynthesis as it allows for efficient exchange of carbon dioxide and oxygen.  

The aim of the project is to build biophysical reaction-diffusion and network-based models to investigate how the architecture of the airspace network impacts the efficiency of photosynthesis. 

The project relies on a tight collaboration with experimental plant-scientists and computational biologists with the goal to bridge machine learning and biophysical modeling with biology to optimize the leaf cell architecture. The models built in this Postdoctoral project will be based on experimentally sampled airspace networks and will output the architectural characteristics important for photosynthesis efficiency. Together with Machine Learning Approaches employed by our collaborators the biophysical models will be used for predicting genes and molecular mechanisms that could optimize photosynthesis.

The ideal candidate will have a strong background in physics or applied mathematics and solid programming skills. Previous knowledge of biology is not necessary, although the applicant is expected to have high motivation and ability to gain the necessary knowledge in relevant parts of plant biology in the first phase of the project.

Who are we looking for?

We are looking for a talented, highly motivated and creative scientist interested in exploring questions at the interfaces between physics, quantitative biology, networks science and machine learning. 

The successful candidates must have excellent English skills, both written and oral. The successful candidate must hold a PhD degree in physics, biophysics or related disciplines. 

Our group and research environment

We are part of the Unibiolab, in the Biocomplexity section at the Niels Bohr Institute. 

We are interested in uncovering the unifying principles in complex biological systems. We like asking questions and look for simple ways to answer them. We combine theoretical and computational models with quantitative experiments and very much enjoy interacting with our collaborators across physics, biology and medicine. Our current focus is on what cells can achieve collectively, how far can they go beyond what single cells can do on their own. A few examples are: ways to counteract stresses, balance their relative abundances in developing organs; encode and send the information across tissue  and form complex and stable shapes in organs and organisms. 

At Biocomplexity we offer a creative and exciting research atmosphere at the vibrant border between physics and biology, with research ranging from viruses to development in humans and plants.

Terms of employment

The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

–        Curriculum vitae
–        Diplomas (Master and PhD degree)
–        Cover letter 
–        Complete publication list 

The deadline for applications is 20 May 2022, 23:59 GMT+2.

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Deadline: 2022-05-20 at 23:59
Unit: Faculty of Science

Read the job description at the university homepage or apply.

Post expires on fredag maj 20th, 2022

PhD Research Fellow in quantum optomechanics

About the position

The Faculty of Technology, Natural Sciences, and Maritime Sciences has a vacancy for a temporary full time position as PhD Research Fellow on the theory of mechanical systems in the quantum regime, and in particular quantum optomechanics, from 01.10.2022. The position is located at the Department of Science and Industry Systems and reports to the Head of Department. The place of employment is Kongsberg.

The employment period will be three years of full time with no teaching obligations. An appointment term of four years with 25 % teaching obligations may be offered to  suitable candidates. There is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in Applied Micro- and Nanosystems within three months of accession in the position.

About the PhD-project

Mechanical systems prepared in specific quantum states can serve as a resource for secure communication protocols or as elements of quantum information processing architectures. Exotic quantum states can also be exploited to enhance sensing capabilities beyond what is possible with traditional methods. Controlling the quantum state of micro- or nanomechanical systems is currently a topic of intense investigations in laboratories worldwide. This activity relies both on theoretical modeling and on the development of new protocols for preparation and characterization of such quantum states.

In this project, new ideas for how to prepare and characterize particular quantum states of mechanical resonators in realistic experimental settings will be developed, which will involve close collaboration with several experimental collaborators abroad. The project will be particularly focused on optomechanical systems, where the toolbox of quantum optics may be exploited in order to manipulate and characterize mechanical systems in the quantum regime. The main supervisor of the PhD-project will be Professor Kjetil Børkje.

Qualifications

Applicants to the PhD position must have a Master’s degree (120 ECTS) or equivalent higher education qualifications in theoretical physics. Any previous background in quantum optomechanics, quantum optics, or the theory of open quantum systems is considered as an advantage, but strong candidates from other fields of physics are encouraged to apply as well.

The degree must be accomplished before the application deadline. However, students in the process of finalizing their degree before the scheduled commencement of the position may also apply and can be offered a position conditioned on a satisfactory result.

It is a requirement that the successful applicant is granted admission to the university’s doctoral programme in Applied Micro- and Nanosystems within three months of accession in the position. For admission to the programme a weighted average grade of B or higher is usually required.

The applicant must document that he/she is fluent in English orally and in writing.

The candidate must have the ability to work independently and at the same time have the motivation to share knowledge and take part in team work.

Co-operation between staff members is an integrated part of the working atmosphere at the University of South-Eastern Norway. The candidate must be motivated and demonstrate a proven ability to work effectively within a team and in a collegiate manner to formulate and realise common objectives.

Personal suitability for the post will be emphasised.

Forskning

We offer

  • A stimulating and growing research environment, with good opportunities to develop your career and your academic skills
  • A good social environment
  • Attractive welfare benefits in the State Pension Plan
  • Opportunity for physical activities within working hours

Salary

PhD Research Fellow (code 1017): NOK 491 200 a year. Further promotion will be based on time served in the position.

A statutory contribution to the state pension plan will be deducted from the employee’s salary.

Other information

The Academic Appointments Board for PhD Research Fellowships is responsible for the appointment. An expert assessment of applicants will be carried out. The candidates deemed best qualified will be invited to an interview.

The person appointed must comply with the laws, regulations and agreements that apply at any given time to the post. Please note that approved work permit is a prerequisite for the employment.

According to its human resources policy, the University of South-Eastern Norway targets a balanced gender composition and aims to recruit persons with a background as an immigrant.

The Department has few women appointed in scientific positions, and women are therefore particularly encouraged to apply.

The University contributes to the Inkluderingsdugnaden (a voluntary scheme to promote inclusion), and it is our aim that our employees, to the fullest extent possible, shall reflect the diversity of the general population. We therefore encourage qualified applicants with disabilities to apply for the post. The University will facilitate the workplace for employees with disabilities.

Pursuant to section 25, 2nd paragraph of the Freedom of Information Act, information on the applicant may be disclosed even if the applicant has requested not be included on the list of applicants. Applicants will be notified if such requests are not allowed.

Contact information

For more information about the position, please contact:
Professor Kjetil Børkje, email: kjetil.borkje@usn.no 

For questions regarding the recruitment process, please contact:
Head of Section, HR-Department, Britt G. Wien, email: britt.g.wien@usn.no 

How to apply

The University of South-Eastern Norway makes use of online application management. Applicants to the post must register their application and CV with enclosures online via the Jobbnorge recruitment portal by clicking on the link on the right-hand side –  “Søk stillingen” (Apply for the post).

The following documents shall be attached to the online application:

  • Transcripts and diplomas of Bachelor’s and Master’s Degrees (120 ECTS)
  • A maximum 2-page motivational letter
  • Documentation of English proficiency
  • Master thesis in pdf format, or a link to an online archive where it can be accessed
  • Any scientific publications, and a list of these
  • Contact information of three references

Please note that all documents must be in a Scandinavian language or in English. Any translations must be certified.

The application will be assessed on the basis of the attached documentation as requested above. Each applicant is responsible for ensuring that the required documentation has been uploaded with the application deadline.

The University has been awarded a Charter & Code certificate by the European Commission, and is entitled to use the HR Excellence in Research (HRS4R) logo. The University is also a member of the EURAXESS network, which contributes to good working conditions for mobile researchers.

About USN

The University of South-Eastern Norway, USN, is one of Norway’s largest higher education institutions, with around 18,000 students and 1,900 employees across eight different campuses.

We offer studies, research and knowledge dissemination, all targeting various professions and working life and with a high level of quality internationally. Our goal as a University is to create value both for the individual student and for business and commerce, the public sector and society in general. We achieve this by utilising the best tools we have: education and research.

USN is a University with a strong social commitment where studies and working life are integrated. At USN, we focus on practice-relevant, profession-oriented and applied research and education.

The students shall benefit from innovative educational methods and challenging studies closely associated with society’s requirements and needs. They will learn how to adapt to a society and working life that is constantly changing. The University shall meet major social challenges with knowledge and expertise, helping to promote practical solutions, structural changes and new ways of thinking. USN’s academic activities shall be embodied by a clear dedication to the UN’s sustainable development goals. The University aims to realise this main profile in close cooperation with society and working life.

For more information on USN, please go to www.usn.no

Read the job description at the university homepage

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Deadline

1st August 2022

Post expires on mandag august 1st, 2022

Postdoc in Plant Molecular Biology

We are looking for an enthusiastic and dedicated person to undertake studies of autoimmunity in plants. We focus on innate immunity and how specific mutations leads to the inappropriate activation of cytoplasmic immune receptors. We study why specific host proteins are under surveillance and if they function in immunity or plant development and why these host proteins are also targeted and manipulated by microbial effectors.

Based on a grant from the Novo Nordisk Foundation, we have designed a project, which involves suppression of autoimmune mutants in Arabidopsis using mutated immune receptors. You will perform molecular studies to understand how and why certain immune receptors surveil specific host proteins to uncover their regulatory role in adaptive responses and development. You will be part of our highly experienced research team of about 8 people working on related topics.

Required qualifications

The applicant should hold professional as well as personal skills and qualifications as stated below:

  • Applicants should have a PhD-degree in molecular biology or related area
  • Practical experience in Arabidopsis genetics, immunity, and molecular biology
  • Good interpersonal skills
  • Be excellent in English, writing and speech

Candidates fulfilling the following qualifications will be prioritized:

  • Practical experience in Arabidopsis immune assays
  • Practical experience in plant transformation
  • Practical experience in protein-protein interaction studies
  • Practical experience in CRISPr technology

Key criteria for the assessment of candidates

  • Professional qualifications relevant to the position
  • Publications
  • Relevant work experience
  • Other professional activities
  • Language skills

Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/. Inquiries about the positions can be made to Professor Morten Petersen at shutko@bio.ku.dk or +45 31757660.

The 2-year position is open from 01-08-2022 or as soon as possible thereafter.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Terms of employment

The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

  • Curriculum vitae
  • Diplomas (Master and PhD degree or equivalent)
  • Research plan – description of current and future research plans
  • Complete publication list
  • Separate reprints of 3 particularly relevant papers

The deadline for applications is 19 May 2022, 23:59 GMT + 2.

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Deadline: 2022-05-19 at 23:59
Unit: Faculty of Science

Read the job description at the university homepage or apply.

Post expires on torsdag maj 19th, 2022

Postdoctoral Research Fellowship in geological analysis of CO2 storage sites

Postdoctoral Research Fellowship in geological analysis of CO2 storage sites

Job description

Position as Postdoctoral Research Fellow available at the Department of Geosciences, University of Oslo.

The appointment is a fulltime position and is made for a period of up to two years.

Starting date for the position is expected to be August 2022.

The Department of Geosciences seeks a highly motivated geoscientist that can enrich and strengthen the Department in analysis of offshore basins, with an emphasis on future subsurface CO2 storage sites. Focus is on identification and validation of large-scale, potential storage formations in the Southern North Sea, and will cover work of reservoirs, top-seals, faults, and salt mobility. As salt-tectonics impacts the study area, this will be of high relevance. The work will cover seismic studies of subsurface depositional systems, impacted by vertical movements driven by salt and fault tectonics.

The position is funded by the UiO:Energy and related to the NCCS centre, guiding expectations towards ambitions and integration. The fellow will collaborate with other teams in the centre, including Scandinavian Institute of Maritime Law, and industry partners. The holder of the position is expected to contribute as a dynamic member in the group working with geological characterisation of storage sites for CO2 sequestration both at UiO, and in NCCS, and to contribute to UiO:Energy tasks. Work will include developing and supervising research activity and student work, and promotion of the group and its achievements. There are anticipations around initiating and developing research projects.

The position has no teaching obligations, but may involve supervision of Master students and other minor contributions to the Department’s study programs. There are some general administrative duties according to current regulations at the Department.

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 geosciences. 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.
  • It is essential for the applicant to have a strong background in analysis of sedimentary basins. Experience with salt tectonics is an asset.
  • The applicant should have significant experience with 3D seismic interpretation work and the utilization of well log data. Experience from outcrop study is beneficial.
  • Applicants should have a growing track record of publications in high-level international journals and have an internationally orientated research profile.
  • Experience from interdisciplinary work and student supervision is beneficial.
  • The candidate should be fluent in spoken and written English, with a fundamental understanding of Norwegian expected with time.
  • For field work, candidates should be qualified for Visa to the USA, Oman and elsewhere and hold an internationally recognised drivers licence.

Personal skills

  • Teamwork skills, as well as the ability to work independently
  • Enthusiasm, personal drive, and ability to take initiative
  • Flexibility, ability to work structured and meet deadlines

We offer

  • Salary NOK 534 400 – 583 500 per year depending on qualifications in position as Postdoctoral Research Fellow (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

How to apply

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

Formal regulations

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

No one can be appointed for more than one Postdoctoral Fellow period at the University of Oslo.

According to the Norwegian Freedom of 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.

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 information about this position please contact:

Professor Alvar Braathen, phone: +47 22 85 66 64, e-mail: alvar.braathen@geo.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. The Department encompasses five sections; Meteorology and Oceanography, Geography and Hydrology, Geology and Geophysics, Physics of Geological Processes (Njord centre) and one Centre of Excellence CEED – Centre of Earth Evolution and Dynamics. 

The Department aims to contribute to the new and important UN Sustainability Development Goals. The staff consists of 40 professors and associate professors, in addition to postdoctoral fellows, PhD students, researchers, technical- and administrative staff. Approximately number of employees are 240 at the Department.

Deadline: 15 June 2022
Unit: Department of Geosciences
Campus:
Read the job description and apply online
Apply for job

Post expires on onsdag juni 15th, 2022

Postdoctoral fellowship in Information Retrieval using photonic neural network architectures

The Machine Learning section of the Department of Computer Science at the Faculty of Science at the University of Copenhagen (DIKU) is offering a 2-year fully funded postdoctoral position in applied Machine Learning and Information Retrieval, commencing 1 September 2022 or as soon as possible thereafter.

Description of the scientific environment
The postdoctoral fellow will join the Machine Learning Section at DIKU. The Machine Learning section is among the leading research environments in Artificial Intelligence and Web & Information Retrieval in Europe (in the top 5 for 2020, according to csrankings.org), with a strong presence at top-tier conferences, continuous collaboration in international & national research networks, and solid synergies with big tech, small tech, and industry. The Machine Learning section consists of a vibrant selection of approximately 65 talented researchers (40 of whom are PhD and postdoctoral fellows) from around the world with a diverse set of backgrounds and a common incessant scientific curiosity and openness to innovation. DIKU is the one of the oldest Computer Science departments in Europe, founded by Turing Award Winner Peter Naur.

The postdoctoral fellow will conduct research on the use and development of photonic neural network architectures for information retrieval (IR). The research will involve developing new algorithms for IR and provide feedback to the design of the photonic neural network architectures.

Inquiries about the position can be made to Christina Lioma at c.lioma@di.ku.dk.

Job description
Supervision of bachelor and master theses and teaching are encouraged, but not required. Travel funding and computing resources are covered.

The University of Copenhagen is currently expanding strongly in computer science. We expect to have tenure-track openings in the very near future, and welcome postdoctoral researchers interested in exploring such opportunities.

Formal requirements
Postdoctoral applicants should have or be about to receive a PhD degree in a subject relevant for the research area, e.g. computer science, physics, or mathematics. The successful candidate is expected to have a solid background in applied Machine Learning, Information Retrieval and/or photonic information processing. The candidate should have a strong research record as witnessed by publications in top venues.

The University of Copenhagen

The University of Copenhagen was founded in 1479 and is the oldest and largest institution of research and education in Denmark. It is a member of the International Alliance of Research Universities, alongside the Universities of Cambridge, Oxford and Yale, and has produced 9 Nobel prize winners. Various academic rankings see the University of Copenhagen as one of the top leading institutions in Europe and the world, and its study programs meet the most stringent international standards for higher education based on Standards and Guidelines for Quality Assurances in the European Higher Education Area and the Danish Accreditation Institution guidelines. 

Life in Copenhagen, Denmark
International surveys repeatedly rank Denmark among the world’s happiest countries, with high level of social and gender equality, community spirit, and a strong sense of common responsibility for social welfare. Copenhagen is the capital of Denmark, buzzing with culture, sustainable living, modern architecture, royal history, and a mouthwatering restaurant scene.

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

Application Procedure
The application, in English, should be submitted electronically by clicking APPLY NOW below.

Please include

  • Curriculum vitae.
  • Diploma and transcripts of records (PhD, MSc and BSc, or equivalent).
  • List of publications, including links to the applicant’s pages at DBLP and Google Scholar.
  • Brief research statement with description of research so far and future research goals and interests (maximum 1 page).
  • Copies of the 3 selected research papers.
  • Two signed reference letters (if available)

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

The deadline for applications is June 9, 2022, 23:59 GMT +2.  

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

Questions
Inquiries about the positions can be made to Christina Lioma at c.lioma@di.ku.dk.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Deadline: 2022-06-09 at 23:59
Unit: Faculty of Science

Read the job description at the university homepage or apply.

Post expires on torsdag juni 9th, 2022

3 PhD fellowships in applied Machine Learning, Information Retrieval and Natural Language Processing

The Information Retrieval Lab of the Department of Computer Science at the University of Copenhagen (DIKU) is offering three fully funded PhD Fellowships in applied Machine Learning, Information Retrieval, and Natural Language Processing, commencing 1 September 2022 or as soon as possible thereafter.

Our group and research – and what do we offer?

The fellows will join the Information Retrieval Lab at the Machine Learning Section at DIKU. The Machine Learning section is among the leading research environments in Artificial Intelligence and Web & Information Retrieval in Europe (in the top 5 for 2020, according to csrankings.org), with a strong presence at top-tier conferences, continuous collaboration in international & national research networks, and solid synergies with big tech, small tech, and industry. The Machine Learning section consists of a vibrant selection of approximately 65 talented researchers (40 of whom are PhD and postdoctoral fellows) from around the world with a diverse set of backgrounds and a common incessant scientific curiosity and openness to innovation. Moreover, DIKU is internationally leading within Natural Language Processing (ranked 2nd in Europe for the last 5 years, according to CSRankings). The NLP section has a broad portfolio of research, including investigating methods to automatically process, understand, and generate text, with applications including automatic fact-checking, machine translation, question answering, and visually grounded NLP.

The fellows will conduct research, having as starting point the following broad research areas:

  • a fully-funded PhD in interpretability of applied machine learning;
  • a fully-funded PhD in overparameterization and generalizability in deep neural architectures;
  • a fully-funded PhD in web & information retrieval;

Supervisors are Christina Lioma, Tuukka Ruotsalo and Maria Maistro.

Questions

For more information, please contact Professor Christina Lioma, c.lioma@di.ku.dk, or Associate Professor Tuukka Ruotsalo, tr@di.ku.dk.

The University of Copenhagen

The University of Copenhagen was founded in 1479 and is the oldest and largest institution of research and education in Denmark. It is a member of the International Alliance of Research Universities, alongside the Universities of Cambridge, Oxford and Yale, and has produced 9 Nobel prize winners. Various academic rankings see the University of Copenhagen as one of the top leading institutions in Europe and the world, and its study programs meet the most stringent international standards for higher education based on Standards and Guidelines for Quality Assurances in the European Higher Education Area and the Danish Accreditation Institution guidelines. 

Life in Copenhagen, Denmark           
International surveys repeatedly rank Denmark among the world’s happiest countries, with high level of social and gender equality, community spirit, and a strong sense of common responsibility for social welfare. Copenhagen is the capital of Denmark, buzzing with culture, sustainable living, modern architecture, royal history, and a mouthwatering restaurant scene.

Who are we looking for?

We are looking for candidates with a MSc degree in a subject relevant for the research area. The successful candidate is expected to have strong grades in Machine Learning and/or Information Retrieval and/or Natural Language Processing. Successful candidates should have a preliminary research record as witnessed by a master thesis or publications in the area.

The PhD programme

Depending of your level of education, you can undertake the PhD programme as either:

Option A: A three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree.

Option B: An up to five year full-time study programme within the framework of the integrated MSc and PhD programme (the 3+5 scheme), if you do not have an education equivalent to a relevant Danish master´s degree – but you have an education equivalent to a Danish bachelors´s degree.

********************************************************************************

Option A: Getting into a position on the regular PhD programme

Qualifications needed for the regular programme 
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.

Terms of employment in the regular programme   
Employment as PhD fellow is full time and for maximum 3 years.

Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.

The terms of employment and salary are in accordance to the agreement between the Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.

Option B: Getting into a position on the integrated MSc and PhD programme

Qualifications needed for the integrated MSc and PhD programme

If you do not have an education equivalent to a relevant Danish master´s degree, you might be qualified for the integrated MSc and PhD programme, if you have an education equivalent to a relevant Danish bachelor´s degree. Here you can find out, if that is relevant for you: General assessments for specific countries and Assessment database.  

Terms of the integrated programme  
To be eligible for the integrated scholarship, you are (or are eligible to be) enrolled at one of the faculty’s master programmes in Computer Science.

Students on the integrated programme will enroll as PhD students simultaneously with completing their enrollment in this MSc degree programme.

The duration of the integrated programme is up to five years, and depends on the amount of credits that you have passed on your MSc programme. For further information about the study programme, please see: www.science.ku.dk/phd, “Study Structures”.

Until the MSc degree is obtained, (when exactly two years of the full 3+5 programme remains), the grant will be paid partly in the form of 48 state education grant portions (in Danish: “SU-klip”) plus salary for work (teaching, supervision etc.) totalling a workload of at least 150 working hours per year.
A PhD grant portion is currently (2022) DKK 6,397 before tax.

When you have obtained the MSc degree, you will transfer to the salary-earning part of the scholarship for a period of two years. At that point, the terms of employment and payment will be according to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.

Responsibilities and tasks in both PhD programmes

  • Complete and pass the MSc education in accordance with the curriculum of the MSc programme

 (ONLY when you are attending the integrated MSc and PhD programme)

  • Carry through an independent research project under supervision
  • Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
  • Carry out limited dissemination and teaching activities
  • Participate in active research environments, including a stay at another research institution, preferably abroad
  • Write scientific papers aimed at high-impact venues
  • Write and defend a PhD thesis on the basis of your project

We are looking for the following qualifications:

  • Professional qualifications relevant to the PhD project
  • Relevant publications are desirable, but not necessary
  • Relevant work experience is desirable, but not necessary
  • Curious mind-set with a strong interest in Machine Learning and/or Information Retrieval and/or a combination of these with Human-Centered Computing
  • Proficiency in the English language

***************************************************************************

Application and Assessment Procedure

 Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.

Please include

  1. Motivated letter of application (max. one page) for applying for the specific PhD project.
  2. Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position.
  3. Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
  4. Publication list (if possible).
  5. Reference letters (if available)

Application deadline:

The deadline for applications is 19 May 2022, 23:59 GMT +2.

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

The further process         
After the deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.

The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Questions
For specific information about the PhD fellowship, please contact the principal supervisor.

General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/.

The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position. 

Deadline: 2022-05-19 at 23:59
Unit: Faculty of Science

Read the job description at the university homepage or apply.

Post expires on torsdag maj 19th, 2022

Postdoctoral positions in Theoretical Computer Science and/or Combinatorial Optimization

The Department of Computer Science (DIKU) at the University of Copenhagen invites applications for postdoctoral positions in theoretical computer science and/or combinatorial optimization.

Description of the scientific environment
We are looking for outstanding junior researchers with an innovative mind-set and intellectual curiosity to strengthen and complement the research profile of the Mathematical Insights into Algorithms for Optimization (MIAO) group headed by Jakob Nordström (http://www.jakobnordstrom.se), which is active at both the University of Copenhagen and Lund University on either side of the Øresund Bridge.

The MIAO research group has a unique profile in that we are doing cutting-edge research both on the mathematical foundations of efficient computation and on state-of-the-art practical algorithms for real-world problems. This creates a very special environment, where we do not only conduct in-depth research on different theoretical and applied topics, but where different lines of research cross-fertilise each other and unexpected and exciting synergies often arise. Much of the activities of the group revolve around powerful algorithmic paradigms such as, e.g., Boolean satisfiability (SAT) solving, Gröbner basis computations, integer linear programming, and constraint programming. This leads to classical questions in computational complexity theory—though often with new, fascinating twists—but also involves work on designing and coding up clever algorithms that can exploit the power of such paradigms in practice.

We are fortunate to be part of the Algorithms and Complexity Section at DIKU, which is world-leading in algorithms and complexity theory (currently ranked 6th worldwide by CSrankings.org) with a strong presence at top-tier TCS conferences like STOC, FOCS, and SODA and also with publications in premier AI venues like AAAI, IJCAI, and NeurIPS. DIKU hosts the Basic Algorithms Research Copenhagen (BARC) centre (https://barc.ku.dk/) joint with the IT University of Copenhagen, and we also have extensive collaborations with the Technical University of Denmark (DTU) and with Lund University on the Swedish side of the Øresund Bridge, as well as with our many visitors. We aim to attract top talent from around the world to an ambitious, creative, collaborative, and fun environment. Using the power of mathematics, we strive to create fundamental breakthroughs in algorithms and complexity theory. While the focus in on foundational research, we do have a track record of surprising algorithmic discoveries leading to major industrial applications.

The University of Copenhagen was founded in 1479 and is the oldest and largest university in Denmark. It is often ranked as the best university in Scandinavia and consistently as one of the top places in Europe. Within computer science, it is ranked 2nd in the European Union (post-Brexit) by ShanghaiRanking.

Further information about the Department of Computer Science and the Faculty of Science can be found at https://www.science.ku.dk/english/about-the-faculty/organisation/. Inquiries about the positions can be made to Jakob Nordström at jn@di.ku.dk.

Job description
These are full-time research positions. Teaching of advanced courses is encouraged but not required. Travel funding is included, and we also expect to start receiving visitors again on a regular basis as the pandemic situation is now improving.

The starting date would ideally be October 1, 2022, but is flexible, and the intended duration is 2 years.

The University of Copenhagen is currently expanding strongly in computer science. We expect to have tenure-track openings in computer science in the coming years, and welcome postdoctoral researchers interested in exploring such opportunities.

Formal requirements
Applicants should have or be about to receive a PhD degree in a subject relevant for the research area, and should have a passionate interest in research. The successful candidate is expected to have a solid background in computer science and mathematics, and should have a strong research record as witnessed by publications in top conferences such as STOC, FOCS, and CCC for theory candidates and AAAI, IJCAI, SAT, and CP for applied candidates, or in journals of comparable quality.

The working language of the group is English, and knowledge of English is also fully sufficient to navigate life in Denmark in general. It might also be worth mentioning that Denmark routinely scores at the absolute top in rankings of quality of life such as, e.g., the OECD Better Life Index http://www.oecdbetterlifeindex.org .

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Danish Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State.

The salary is internationally very competitive.

Negotiation for salary supplement is possible.

Application Procedure
The application, in English, should be submitted electronically by clicking APPLY NOW below.

Please include:

  • Curriculum vitae.
  • Diploma and transcripts of records (PhD and MSc or equivalent).
  • List of publications including links to the applicant’s pages at DBLP and Google Scholar.
  • Brief research statement with description of research so far and future research goals and interests, and with a short description of 3 selected papers.
  • Copies of the above 3 selected papers.
  • Name and address for three references who might be contacted later in the recruitment process.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

The deadline for applications is June 29, 2022, 23:59 GMT + 2.

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Deadline: 2022-06-29 at 23:59
Unit: Faculty of Science

Read the job description at the university homepage or apply.

Post expires on onsdag juni 29th, 2022

PhD Research Fellowship in Mechanics/Biophysics

PhD Research Fellowship in Mechanics/Biophysics

Job description

A PhD Research Fellowship 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. If the successful candidate has a good knowledge of one Scandinavian language (Norwegian, Swedish, Danish), the fellowship will be for a period of 4 years, with 25 % compulsory work (teaching at the Department of Mathematics). Otherwise, the fellowship will be for a period of 3 years, with no compulsory work.

The employment relationship is conditional and dependent on a signed contract between UiO and the Research Council of Norway.

Starting date no later than 01.10.2022.

A PhD Research Fellowship is available at the Department of Mathematics, Section for Mechanics at the University of Oslo (UiO). The position is parts of large interdisciplinary projects funded by the Research Council of Norway, which focuses on the development of mathematical models and numerical simulations of cell membrane dynamics. More specifically, it will address the basic mechanochemical processes that regulate one of the most fundamental communication pathways in cell biology – the encapsulation and internalization of liquid and transmembrane cargo at intracellular membranes. 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 (Oslo University Hospital) and bio-chemists (UiO).

The PhD student will:   

  •  Develop theoretical models for intracellular membrane dynamics, coupling elastic effects, fluid flow and the biological membrane composition.
  • Implement and solve numerically the theoretical membrane model
  • Collaborate with experimentalists.
  • Work in an interdisciplinary team with expertise in mechanics, physics and biophysics.

Qualification requirements

Qualification requirements:

  • Applicants must hold a Master’s degree or equivalent in mechanics, fluid mechanics, biophysics, physics or applied mathematics.
  • Fluent oral and written communication skills in English
  • Earlier involvement in interdisciplinary research projects or/and a strong background in biophysics or interfacial fluid mechanics will also be considered positively.
  • Expected to have a strong background in 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 30 August, 2022 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.
  • English requirements for applicants from outside of EU/ EEA countries 
  • the Master’s thesis must have the grade B or better in the Norwegian educational system

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

 

The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. 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.

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

The fellowship requires admission to the PhD program at the Faculty of Mathematics and Natural Sciences. The application to the PhD program 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 491 200 – 534 400 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.
  • Possibility to work in an interdisciplinary and diverse research team.

How to apply

The application must include

  • Cover letter including a description of scientific interests and the motivation for applying for the position
  • CV (summarizing education, positions and academic work – scientific publications)
  • Copies of educational certificates, transcript of records and letters of recommendation
  • Documentation of english proficiency
  • 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).

Applicants may be called in for an interview.

Formal regulations

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

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

According to the Norwegian Freedom of 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 appointment may be shortened/given a more limited scope within the framework of the applicable guidelines on account of any previous employment in academic positions.

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

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

Professor Andreas Carlson, phone: +47 22857223,

Email : acarlson@math.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: 24 May 2022
Unit: Department of Mathematics
Campus:
Read the job description and apply online
Apply for job

Post expires on tirsdag maj 24th, 2022

Doctoral student in Applied Physics

Malmo

Ref REK 2022/125

About Malmö University

Malmö University is an innovative, urban and international institute of higher education, located in the centre of Malmö. We have around 1,800 employees and 24,000 students. Our research and education are characterised by the role we believe a university should play in an open society — to contribute to sustainability and equality in a scientifically grounded way with external partners and stakeholders. Identifying and addressing the challenges of the future are of highest priority. Our researchers and students work collaboratively to create, share and spread knowledge in order to understand, explain and develop society — both locally and globally.

Faculty

The Faculty of Technology and Society conducts education and research focusing on technology and natural sciences at two departments: Computer Science and Media Technology and Materials Science and Applied Mathematics. The faculty collaborates with companies and other organisations in order to raise the level of competence, create new products, develop activities and offer students an early connection to their future working life. Our research collaborations and staff from many different countries give our activities an international profile. 

Department

The Department of Materials Science and Applied Mathematics offers education at all levels, from a technical foundation year programme to doctoral education. Our programmes belong to the field of applied engineering, covering subjects of civil and mechanical engineering and basic natural science. We conduct research mainly in applied physics and selected fields of engineering. 

Department of Materials Science and Applied Mathematics 

Work duties

Those appointed to doctoral studentships shall primarily devote themselves to their studies. Those appointed to doctoral studentships may, however, work to a limited extent with educational tasks, research, artistic research and administration, however, duties of this kind may not comprise more than 20 per cent of a full-time post (Chapter 5, Section 2 of the Higher Education Ordinance).

The PhD applicant will carry out research projects at the Department of Materials Science and Applied Mathematics, Malmö University. The research activities will have close ties with amorphous TiNiSn based thermoelectric thin films grown on polymeric substrates, aiming at realisation of efficient flexible and wearable devices. Thermoelectric devices directly convert heat into electricity without greenhouse gas emission enabling applications for off-grid energy generation and waste heat extraction. The PhD student need to have an interest in sustainable development and synergistic skills to make an impact on next generation energy materials and devices, designing novel experiments on lab scale and at large-scale facilities as well as enabling interdisciplinary research.

Teaching duties at the department will be part of the employment.

Qualifications

In order to be admitted to third-cycle studies, the applicant must meet the general and specific entry requirements of the subject in question. Moreover, the applicant must be deemed capable of assimilating the education.

General entry requirements for third-cycle courses and study programmes (HEO Chapter 7 Section 39) have those who:

  • has been awarded a second-cycle qualification
  • has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or
  • has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

Specific entry requirements for third-cycle courses and study programmes have those who:

  • have knowledge and skills equivalent to a second-cycle degree in applied physics or in another subject that has relevance for applied physics, or
  • have acquired essentially equivalent knowledge in or outside Sweden
  • are proficient in English to the extent required for conducting postgraduate studies in applied physics

Selection criteria

Selection among applicants who meet the general and specific entry requirements shall be made with regard to their capacity to assimilate the education (HEO Chapter 7 Section 41).

The following general criteria will be used.

  • Subject competence
  • Scientific quality in previous work
  • Methodological and scientific maturity
  • Communication and collaborative skills
  • Documented ability to carry out experimental work, including materials characterization
  • Documented knowledge about physical vapor deposition, especially molecular beam epitaxy
  • Documented knowledge about energy materials, especially thermoelectrics
  • Documented knowledge about amorphous materials
  • Documented experience from large-scale facilities, such as synchrotron
  • Documented ability to write scientific text in english

Further information

Professor, Denis Music, denis.music@mau.se

Head of Department, Katja Frid, katja.frid@mau.se

In our recruitment work, Malmö University has taken a stand regarding recruitment channels and marketing. We therefore decline all offers of advertising and recruitment assistance in connection with this advertisement.

Application

You may apply for this position via Malmö University’s recruitment system by clicking on the “Apply” button. As an applicant, you are responsible for ensuring that your application is completed in accordance with the advertisement, and that it is provided to the University no later than 2022-05-25. The applicant is responsible for ensuring that the University can read what is written in the application. If the application is not written in Swedish, English or any of the Nordic languages, the applicant is responsible for the application and its appendices being translated.

The application must include:

  • Completed application form for admission to Research Education https://mau.app.box.com/s/xe74zorhnlfmst7ejy65440r77f0n2l6
  • Curriculum Vitae
  • Diplomas, transcript of records and other certificates relevant for the position
  • A brief research plan presenting the focus of research and a thesis concept, and how this relates to the specific post (max 4 pages). The research plan must contain an overall purpose, questions that the project intends to answer, an account of the methodological approach, a description of material collection and type of research material and an account of the theoretical framework
  • Independent work at advanced level (including master thesis or equivalent)

Miscellaneous

Preparation of admission to postgraduate education and employment as a doctoral student take place in parallel. Only those who are or have been admitted to third-cycle courses and study programmes at a higher education may be appointed to doctoral studentships (Chapter 5, Section 3 of the Higher Education Ordinance).

The doctoral studentship is a fixed-term position comprising four years of full-time studies, in accordance with the Higher Education Ordinance Chapter 5 Section 7.

Malmö University is a workplace and higher education institution that is characterised by an open and inclusive approach, where gender equality and equal terms add value to our activities.

Malmö University applies salary setting for doctoral students in accordance with a local agreement on salary setting for doctoral students.

Start date

2022-09-01

Union representatives

SACO-S Mats Syde, mats.syde@mau.se

OFR/ST Bodil Sterner, bodil.sterner@mau.se

We are looking forward to receiving your application!

You apply no later than 25/05/2022 by clicking the apply button.

Read the job description at the university homepage

Apply

Post expires on onsdag maj 25th, 2022

PhD positions in Theoretical Computer Science and/or Combinatorial Optimization

The Department of Computer Science at the University of Copenhagen (DIKU) invites applications for PhD positions in theoretical computer science and/or combinatorial optimization, tentatively starting October 1, 2022 or thereafter (the concrete starting date is negotiable).

Description of Scientific Environment
The PhD students will be working in the Mathematical Insights into Algorithms for Optimization (MIAO) group headed by Jakob Nordström (http://www.jakobnordstrom.se), which is active at both the University of Copenhagen and Lund University on either side of the Øresund Bridge.

The MIAO research group has a unique profile in that we are doing cutting-edge research both on the mathematical foundations of efficient computation and on state-of-the-art practical algorithms for real-world problems. This creates a very special environment, where we do not only conduct in-depth research on different theoretical and applied topics, but where different lines of research cross-fertilise each other and unexpected and exciting synergies often arise. Much of the activities of the group revolve around powerful algorithmic paradigms such as, e.g., Boolean satisfiability (SAT) solving, Gröbner basis computations, integer linear programming, and constraint programming. This leads to classical questions in computational complexity theory—though often with new, fascinating twists—but also involves work on designing and coding up clever algorithms that can exploit the power of such paradigms in practice.

We are fortunate to be part of the Algorithms and Complexity Section at DIKU, which is world-leading in algorithms and complexity theory (currently ranked 6th worldwide by CSrankings.org). DIKU hosts the Basic Algorithms Research Copenhagen (BARC) centre (https://barc.ku.dk/) joint with the IT University of Copenhagen, and we also have extensive collaborations with the Technical University of Denmark (DTU) and with Lund University on the Swedish side of the Øresund Bridge, as well as with our many visitors. We aim to attract top talent from around the world to an ambitious, creative, collaborative, and fun environment. Using the power of mathematics, we strive to create fundamental breakthroughs in algorithms and complexity theory. While the focus in on foundational research, we do have a track record of surprising algorithmic discoveries leading to major industrial applications.

The University of Copenhagen was founded in 1479 and is the oldest and largest university in Denmark. It is often ranked as the best university in Scandinavia and consistently as one of the top places in Europe. Within computer science, it is ranked 2nd in the European Union (post-Brexit) by ShanghaiRanking.

Further information about the Department of Computer Science and the Faculty of Science can be found at https://www.science.ku.dk/english/about-the-faculty/organisation/. Inquiries about the positions can be made to Jakob Nordström at jn@di.ku.dk. Candidates interested in working with other faculty in the Algorithms and Complexity Section (https://di.ku.dk/english/staff/vip/researchers_ac/) are also encouraged to apply and state this clearly in their application.

Job description

The positions are available for period of 3-5 years, depending on your current education level as discussed further below, and your key tasks as a PhD student at SCIENCE are to:

  • Manage and carry through your research project.
  • Complete and pass the MSc education in accordance with the curriculum of the MSc programme (only if you are attending the integrated MSc and PhD programme).
  • Complete PhD courses corresponding to approximately 30 ECTS (1/2 full-term equivalent).
  • Teach and disseminate your research.
  • Participate in research exchange by working at another research institution, preferably abroad, for a few months.
  • Write scientific articles aimed at high-impact conferences and journals.
  • Write and defend your PhD thesis on the basis of your research project.

Who are we looking for?
To be eligible to apply for these positions, applicants need to have or be about to obtain either a BSc or an MSc degree in computer science, mathematics, or a related field. The successful candidates are expected to have a strong background and passionate interest in mathematics and theoretical computer science, as demonstrated by excellent grades in relevant courses, or by results at the Olympiads of Mathematics or Informatics, or by publications in relevant internationally recognized conferences or journals. Problem solving skills and creativity are a must. For candidates interested in applied research, strong programming skills are required.

Applicants need to be highly motivated for doctoral studies; should possess the ability to work independently and perform critical analysis, and also have good levels of communicative abilities and English language skills.

The working language of the group is English, and knowledge of English is also fully sufficient to navigate life in Denmark in general. It might also be worth mentioning that Denmark routinely scores at the absolute top in rankings of quality of life such as, e.g., the OECD Better Life Index http://www.oecdbetterlifeindex.org.

Principal supervisor will be Professor Jakob Nordström at the Department of Computer Science (e-mail jn@di.ku.dk).

The PhD programme
Depending of your level of education, you can undertake the PhD programme as either:

Option A: A three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree.

Option B: An up to five year full-time study programme within the framework of the integrated MSc and PhD programme (the 3+5 scheme), if you do not have an education equivalent to a relevant Danish master´s degree – but you have an education equivalent to a Danish bachelors´s degree.

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Option A: Getting into a position on the regular PhD programme

Qualifications needed for the regular programme
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. computer science, mathematics, or a related field. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.

Terms of employment in the regular programme
Employment as PhD fellow is full time and for maximum 3 years.

Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.

The terms of employment and salary are in accordance to the agreement between the Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.

Option B: Getting into a position on the integrated MSc and PhD programme

Qualifications needed for the integrated MSc and PhD programme

If you do not have an education equivalent to a relevant Danish master´s degree, you might be qualified for the integrated MSc and PhD programme, if you have an education equivalent to a relevant Danish bachelor´s degree. Here you can find out, if that is relevant for you: General assessments for specific countries and Assessment database.  

Terms of the integrated programme
To be eligible for the integrated scholarship, you are (or are eligible to be) enrolled at one of the faculty’s master programmes in mathemacs or computer science.

Students on the integrated programme will enroll as PhD students simultaneously with completing their enrollment in this MSc degree programme.

The duration of the integrated programme is up to five years, and depends on the amount of credits that you have passed on your MSc programme. For further information about the study programme, please see: www.science.ku.dk/phd, “Study Structures”.

Until the MSc degree is obtained, (when exactly two years of the full 3+5 programme remains), the grant will be paid partly in the form of 48 state education grant portions (in Danish: “SU-klip”) plus salary for work (teaching, supervision etc.) totalling a workload of 150 working hours per year.
A PhD grant portion is currently (2022) DKK 6.397 before tax.

When you have obtained the MSc degree, you will transfer to the salary-earning part of the scholarship for a period of two years. At that point, the terms of employment and payment will be according to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.

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Application and assessment procedure
Your application including all attachments must be in English and should be submitted electronically by clicking APPLY NOW below.

Please include

  1. Curriculum vitae.
  2. Brief statement as to why the applicant wishes to conduct doctoral studies, including a description of the applicant's qualifications and interests.
  3. Diploma and transcripts of records (BSc and MSc). , including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
  4. Other information for consideration, e.g., BSc/MSc thesis or research publications.
  5. Name and address (reference letters)for three references who might be contacted later in the recruitment process – if available.

Application deadline
The The deadline for applications is June 29, 2022, 23:59 GMT +1.

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

The further process
After deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.

The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Questions

For specific information about the PhD fellowship, please contact the principal supervisor.

General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/.

The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position. 

Deadline: 2022-06-29 at 23:59
Unit: Faculty of Science

Read the job description at the university homepage or apply.

Post expires on onsdag juni 29th, 2022

Researcher in Statistics or Computational sciences

Researcher in Statistics or Computational sciences

Job description

Applications are invited for one researcher for 2 years at the Oslo Centre for Biostatistics and Epidemiology (OCBE), Institute of Basic Medical Sciences, University of Oslo.

We are looking for a statistician, computational scientist, biostatistician or data scientist, who will develop new computational statistical methodology to transform drug development by exploiting the rich longitudinal multi-type Nordic health data. This project will focus on (i) methods and algorithms for the construction and analysis of external synthetic control arms to clinical studies and (ii) for the discovery of signals in health data and large registries to study the safety and the repurposing potential for existing drugs. The project is funded by the Research Council of Norway and is run in collaboration with NordicRWE, a dedicated Norwegian Real-world evidence start-up company in Oslo. In collaboration, we aim to provide crucial insight in selected disease areas and drug classes and give evidence that accelerate development, approvals and access to medicines. The candidate is expected to publish methodological and/or applied papers in high impact peer-reviewed scientific journals, and to present results at scientific conferences.

More about the position

The Oslo candidate will be employed at OCBE.

OCBE has eight professors, five associate professors, fifteen researchers, many post-doctoral fellows and PhD students, making up a group of about 80 scientists. OCBE is internationally recognized, with interests spanning a broad range of areas (including time-to-event models, data integration, causal inference, statistical genomics, Bayesian inference, stochastic simulation algorithms, probabilistic graphical models, machine learning, evolution and population genetics, informative missingness and measurement error models, epidemiological studies of lifestyle and chronic diseases, stochastic models for infectious diseases, high dimensional data and models) and numerous collaborations with leading biomedical research groups internationally and in Norway.

In the last national research evaluation, OCBE was judged as excellent by an international committee. OCBE has a leading role in the centre of excellence for research-based innovation BigInsight, a consortium of academic, industrial and public partners, with a funding of about 4 mil Euro annually until 2023. Furthermore, OCBE hosts the ERC Advanced Grant of Professor Corander (Scalable inference algorithms for Bayesian evolutionary epidemiology) and several further important projects in the areas of digital life sciences, systems medicine, statistical methods for biobank, health survey and registry data, causal inference and mathematical oncology. Professor Arnoldo Frigessi will supervise the researcher.

Qualification requirements

  • PhD in statistics, biostatistics, data science, computer science, mathematics or epidemiology, with a documented competence in statistics, or computational statistics or scientific programming
  • Documented high level programming skills in R, Python, C, C++, matlab or equivalent computer languages are necessary
  • Fluent oral and written communication skills in English

Personal skills

  • The candidate is highly motivated to perform her/his research in the project
  • The candidate is used to work in a team and has excellent communication skills
  • The candidate shows the ability to work independently and efficiently

We offer

  • Salary is NOK 534.400 – 650.300 per annum depending on qualifications as a researcher, (position code SKO 1109)
  • A unique project, with multiple opportunities to develop research themes at the forefront of modern biostatistics and pharmacoepidemiology
  • A friendly, professional and stimulating international working environment
  •  Access to a network of top level national and international collaborators
  • Full health insurance and very attractive welfare benefits of the Norwegian state
  • A generous pension agreement
  • Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities

Starting date is as soon as possible. 

How to apply

The application must include

  • A personal cover letter, stating motivations for this position and research interests
  • A CV with full education, positions, academic experiences, details on PhD thesis, detailed computational skills and a list of publications 
  • Copies of educational certificates (academic transcripts only)
  • List of reference persons: 2-3 references (name, relation to candidate, e-mail and phone 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, German, Italian, or a Scandinavian language. Shortlisted applicants can be called in for an interview in person or by videolink.

Formal regulations

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

According to the Norwegian Freedom of 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 etc.

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

Professor: Arnoldo Frigessi, +47 95735574, e-mail:frigessi@medisin.uio.no

About the University of Oslo 

The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 28 000 students and 7000 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.

The Institute of Basic Medical Sciences overall objective is to promote basic medical knowledge in order to understand normal processes, provide insight into mechanisms that cause illness, and promote good health. The Institute is responsible for teaching in basic medical sciences for the programmes of professional study in medicine and the Master’s programme in clinical nutrition. The Institute has more than 300 employees and is located in Domus Medica.

Deadline: 31 May 2022
Unit: Institute of Basic Medical Sciences
Campus:
Read the job description and apply online
Apply for job

Post expires on tirsdag maj 31st, 2022

PhD fellowships in strong field gravity

The Niels Bohr Institute invites applicants for several PhD fellowships in strong-field gravity. The project is part of the research project 'Illuminating the Dark Universe with Gravitational Waves', which is funded by the Villum foundation and the Danish National Research Foundation.

Start date is September 1, 2022 or as soon as possible thereafter.

The project
Gravitational-wave astronomy has revolutionized science. In this project, we aim to explore the influence of gravitational waves in the dynamics of several systems. This includes gravitational waves emitted by extreme-mass ratio systems, waves emitted by scalar structures, and waves emitted by exotic compact objects. The project aims to test General Relativity and the black hole paradigm to unprecedented levels.

Who are we looking for?
We are looking for candidates within the field of gravitational-wave physics, and black hole physics.

Our group and research – and what do we offer?
The STRONG group is funded by a Villum Investigator Program and a DNRF Chair grant. The group – directed by Prof. Cardoso – is young and dynamic and consists of around 8 researchers and 6 PhD students. The group's focus is on strong-field gravity, including black hole spectroscopy, tests of the black hole paradigm and tests of extensions of General Relativity.

The group is a part of the Niels Bohr International Academy, Niels Bohr Institute, Faculty of SCIENCE, University of Copenhagen. We are located in Copenhagen.

We offer creative and stimulating working conditions in a dynamic and international research environment.

Principal supervisor is Professor Vitor Cardoso, Niels Bohr International Academy, Niels Bohr Institute, vitor.cardoso@tecnico.ulisboa.pt.

The PhD programme

The PhD programme is a three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree. 

Getting into a position on the regular PhD programme

Qualifications needed for the regular programme
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master's degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, in particular strong-field gravity and black hole physics. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.  

Terms of employment in the regular programme
Employment as PhD fellow is full time and for maximum 3 years.

Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.

The terms of employment and salary are in accordance to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.

Responsibilities and tasks in the PhD programme

·  Carry through an independent research project under supervision

·  Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE

·  Participate in active research environments, including a stay at another research institution, preferably abroad

·  Teaching and knowledge dissemination activities

·  Write scientific papers aimed at high-impact journals

·  Write and defend a PhD thesis on the basis of your project

We are looking for the following qualifications:

·  Professional qualifications relevant to the PhD project

·  Relevant publications

·  Relevant work experience

·  Other relevant professional activities

·  Curious mind-set with a strong interest in strong-field gravity and black hole physics

·  Good language skills

Application and Assessment Procedure Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.

Please include :

·  Motivated letter of application (max. one page)

·  Your motivation for applying for the specific PhD project

·  Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position

·  Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.

·  Publication list (if possible)

·  Reference letters (if available)

The deadline for applications is 20th of May, 2022, 23:59 GMT +2

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

The further process
After deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.

The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/

Interviews with selected candidates are expected to be held in week 21.

Questions
For specific information about the PhD fellowship, please contact the principal supervisor. General information about PhD study at the Faculty of SCIENCE is available at the PhD School's website: https://www.science.ku.dk/phd/.

The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position. 

Deadline: 2022-05-20 at 23:59
Unit: Faculty of Science

Read the job description at the university homepage or apply.

Post expires on fredag maj 20th, 2022

PhD fellowship in Organic Chemistry

 

 

The department of chemistry, Faculty of Science, University of Copenhagen invites applicants for a PhD fellowship in synthetic organic chemistry.

Start date is (expected to be) July 1st 2022 or as soon as possible thereafter.

The project

The project concerns the synthesis of biomimetic receptors for carbohydrates using a combination of molecular design and dynamic combinatorial chemistry. While there will be a strong emphasis of synthetic organic chemistry, it is expected that tools from the physical organic chemistry toolbox will be widely used, including a range of spectroscopic methods, ITC and crystallography. A secondary goal of the project is to prepare an artificial enzyme that rely of the biomimetic molecular recognition of carbohydrates.

Who are we looking for?

We are looking for candidates within the field(s) of synthetic organic chemistry and supramolecular chemistry. Candidates must have a MSc in organic chemisty of related field with a strong background in preperative chemistry.

Our group and research- and what do we offer?

In the research group we focus on a range of scientific questions. We are interested in both supramolecular chemistry and in aromatic chemistry. Almost all activities in the group are centered around organic synthesis, and we offer a strong interdisciplinary and international work environment. The research group has three postdocs and two PhD students + 5-8 undergraduate students working in the laboratory.

The group is a part of the organic chemistry section and the Department of Chemistry at the Faculty of SCIENCE, University of Copenhagen. We are located in Copenhagen.

We offer creative and stimulating working conditions in dynamic and international research environment. Our research facilities include modern laboratories and state-of-the-art spectroscopic and analytical methods'

Principal supervisor is Associate professor Michael Pittelkow, department of chemistry, pittel@chem.ku.dk, ph. +45 30545509.

The PhD programme

A three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education equivalent to a relevant Danish master’s degree.

Qualifications
To be eligible for the PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. relevant educations. For information of eligibility of completed programmes, see General assessments for specific countries and Assessment database.

Terms of employment
Employment as PhD fellow is full time and for maximum 3 years.

Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.

The terms of employment and salary are in accordance to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.

Responsibilities and tasks

  • Carry through an independent research project under supervision
  • Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
  • Participate in active research environments, including a stay at another research institution, preferably abroad
  • Teaching and knowledge dissemination activities
  • Write scientific papers aimed at high-impact journals
  • Write and defend a PhD thesis on the basis of your project

 

We are looking for the following qualifications:

  • Professional qualifications relevant to the PhD project
  • Relevant publications
  • Relevant work experience
  • Other relevant professional activities
  • Curious mind-set
  • Good language skills

Application and Assessment Procedure
Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.

Please include

  1. Motivated letter of application (max. one page)
  2. Your motivation for applying for the specific PhD project
  3. Curriculum vitae including information about your education, experience, language skills and other skills relevant for the position
  4. Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
  5. Publication list (if possible)
  6. Reference letters (if available)

Application deadline:

The deadline for applications is Wednesday, 18 May 2022, 23:59 GMT +2.

We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.

The further process
After deadline, a number of applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.

The assessor will assess the qualifications and experience of the shortlisted applicants with respect to the above mentioned research area, techniques, skills and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

 

Questions
For specific information about the PhD fellowship, please contact the principal supervisor.

General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/.

The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position. 

 

 

 

 

 

 

 

 

Deadline: 2022-05-18 at 23:59
Unit: Faculty of Science

Read the job description at the university homepage or apply.

Post expires on onsdag maj 18th, 2022

Doctoral Researcher in Optimization of Mineral Resource Modelling Using Machine Learning Approaches

We at the University of Oulu work as part of the international science community to produce new scientific information and science-based solutions. We are committed to educate future pioneers to build a more sustainable, intelligent and humane world. Creating new, taking responsibility and succeeding together are values that build a strong foundation for all our actions. We offer a working environment where individuals can cultivate their skills, do meaningful work, and develop professionally. Our university’s several specialized research and service units enable extensive and diverse development and career opportunities for experts in various fields.

We are looking for a Doctoral Researcher for the Horizon Europe funded SEMACRET (Sustainable Exploration for Orthomagmatic (critical) raw materials in the EU: Charting the road to the green energy transition project. The SEMACRET consortium includes 16 partners from EU, UK, South Africa and is, coordinated by Oulu Mining School (OMS).

Open position

The PhD project includes working on optimizing mineral resource modelling using machine learning approaches. Reference sites include magmatic Ni-Cu-PGE-V-Ti deposits in Finland, Poland and Czech Republic.

Traditional resource modelling approaches include using a set of geostatistical techniques that in the end results estimate of grade distribution within given mineral deposit. Different type of interpolation methods are used (e.g. Kriging) to predict grade in unknown locations based on the adjacent measured known values. There are several possible human based errors during the mineral resource estimation workflow. Machine learning algorithms have developed drastically during the recent decades due to the increase in the computational power. The potential gain for using machine learning in the resource modelling is to reduce the human based errors, increase the automatization of the process, and result more accurate estimations of the grade within the ore domains.  The PhD is supervised by Dr. Jukka-Pekka Ranta (OMS) and Professor John Carranza (University of Free State, South Africa)

Qualification requirements

– M. Sc. degree in the relevant field. Ability to work in international research groups.

– Background on statistics or high motivation to learn to work with large geochemical datasets.

– Background in data science programming languages (e.g. R, python). Experience in mineral resource estimation or 3D modelling is seen as benefit.

We expect a highly motivated candidate with a master´s degree in geosciences, or in related subject. Master´s degree must have been completed by July 2022. The earliest starting date will be 1 August 2022.

We expect excellent spoken and written English skills as this is needed to work in multidisciplinary and international research groups.


What we offer

  • 24-months fully funded doctoral researcher position with 12 months/year salary payment.
  • You will become part of international research group including companies, universities and research organizations from Finland, United Kingdom, Poland, Czech Republic and South Africa.
  • You will receive support not only from your team and supervisor, but also from university´s wide variety of support services, so that you can excel in your studies and research / work.
  • In addition to modern research facilities, we offer you personnel benefits such as occupational healthcare, sports, culture and wellness benefits.
  • Flexible working hours (1612 hours/year)

Other benefits: The successful candidate will receive full benefits provided by the University of Oulu to university employees, including free time corresponding to holidays and free occupational health care services. The successful candidate will receive also benefits provided by the Finnish government to residents, for example possibility to obtain access to the national healthcare system, tax benefits for employees with children and high-quality affordable childcare services.

Salary

For doctoral researcher salary is in accordance with the Finnish universities salary system (for teaching and research personnel): A Doctoral Researcher level 2 – 4. In addition, a salary component based on personal work performance will be paid (maximum of 50% of the job-specific component). Typical starting salary for a Doctoral Researcher is approx. 2400-2700€ per month (before taxes). A trial period of six months will be applied.

How to apply

Applications, together with all relevant enclosures, should be submitted using the electronic application form by 31st of May 2022 at 23:59 (Finnish local time). The application should be written in English and include the following:

1)     A motivation letter (max. 2 pages) summarizing applicant’s professional experience and expertise and describing why applicant is interested in about this position. Also, information on personal research interests, experience and career plans are valuable to provide here

2)     Curriculum vitae (max. 4 pages) in accordance with the guidelines of the Finnish Advisory Board on Research Integrity http://www.tenk.fi/en/template-researchers-curriculum-vitae

3)     List of publications (if applicable) based on the guidelines of the Academy of Finland https://www.aka.fi/en/funding/apply-for-funding/az-index-of-application-guidelines/list-of-publications/

4)     Certificates/Diplomas: Scanned copy of the original master`s degree certificate and transcript of records and, when necessary, official translations to Finnish or English

5)     Contact information of two senior/experienced researchers who may be asked to give a statement on the candidate

Only applications containing all relevant appendices and submitted through e-recruitment system will be considered. Top candidates will be invited to an on-site or remote interview.

Further information

Faculty of Technology, Oulu Mining School

University Lecturer Jukka-Pekka Ranta, jukka-pekka.ranta@oulu.fi

Professor Shenghong Yang, shenhong.yang@oulu.fi

Read the job description at the university homepage

Apply for the job

Post expires on tirsdag maj 31st, 2022

Postdoc in Nanomechanical quantum photonic circuits

The Niels Bohr Institute
Faculty of Science
University of Copenhagen

The Niels Bohr Institute (NBI), University of Copenhagen, is seeking an enthusiastic researcher for a postdoc in the quantum photonics group (www.quantum-photonics.dk). The group is developing a new set of nano-scale devices for controlling and manipulating light-matter interaction in a quantum photonic integrated circuit. The activity will involve a combination of experimental optics, device simulation, and will be based in a well-equipped quantum optics lab at the NBI. The position will be part of the Center for Hybrid Quantum Neworks (Hy-Q, https://hy-q.nbi.ku.dk/). The center is a collaboration between the quantum nanophotonics group and the groups of Prof. Anders Sørensen (www.tqo.dk) and Prof. Albert Schliesser (www.nbi.dk/~aschlies/research.html). In total the center employs approximately 50 scientists working on quantum networks.

The successful candidate will be joining the ERC project NANOMEQ (https://cordis.europa.eu/project/id/949043) led by Assoc.Prof. Leonardo Midolo. The goal of the project will be to develop a new platform for photonic quantum information processing based on nano-opto-electro-mechanical systems (NOEMS) [1]. NBI has developed state-of-the-art deterministic single-photon sources [2] using semiconductor quantum dots integrated in photonic nanostructures [3]. To fully harness the potential of integrated photonic quantum technologies, it is necessary to scale it up, i.e. to perform operations on many photonic quantum bits (or ‘qubits’) simultaneously to generate and manipulate entangled photons. The overarching goal is to demonstrate the seamless integration of single-photon sources with the quantum gates required for building scalable quantum photonic micro-processors. In this project we will pursue a novel approach to control light-matter interaction and quantum gates based on electro- and opto-mechanical interactions. The emphasis of this project will be in the design and fabrication of robust nano-mechanical photonic devices such as routers [4] and phase shifters towards the demonstration of multi-mode unitary gates and scalable single-photon sources.

We are looking for an ambitious and driven researcher with strong applied- and innovation-oriented mindset. The ideal candidate holds a Ph.D. in physics and has a strong background in quantum optics, photonics, semiconductors, and micro- or nano- electromechanical devices. Previous experience working in quantum optics laboratories and with cryogenic equipment is also required. The candidate should have experience in supervising students and a track record of publications in top peer-reviewed international journals.

[1] L. Midolo et al, “Nano-opto-electro-mechanical systems,” Nat. Nanotechnology 13, 11-18 (2018).

[2]  R. Uppu et al, “On-chip deterministic operation of quantum dots in dual-mode waveguides for a plug-and-play single-photon source,” Nat. Commun. 11, 3782 (2020).

[3] P. Lodahl et al, “Interfacing single photons and single quantum dots with photonic nanostructures”, Rev. Mod. Phys. 87, 347 (2015).

[4] C. Papon et al., "Nanomechanical single-photon routing," Optica 6, 524-530, (2019).

The postdoc’s duties will include research within quantum photonics as well as teaching.

Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/. Inquiries about the position can be made to Assoc. Prof. Leonardo Midolo, midolo@nbi.ku.dk.

The position is for 2 years and open from 01.08.2022 or as soon as possible thereafter.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Terms of employment

The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

  • Curriculum vitae
  • Diplomas (Master and PhD degree or equivalent)
  • Research plan – description of current and future research plans
  • Complete publication list
  • Separate reprints of 3 particularly relevant papers

The deadline for applications is 20 (day) May (months) 2022 (year), 23:59 GMT +2.

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Interviews is expected to be held on week 23

Deadline: 2022-05-20 at 23:59
Unit: Faculty of Science

Read the job description at the university homepage or apply.

Post expires on fredag maj 20th, 2022

PhD Candidate in Eco-Visualization for Zero Emission Neighbourhoods

This is NTNU

NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 42,000 students work to create knowledge for a better world.

You will find more information about working at NTNU and the application process here. https://www.youtube.com/embed/Xt-yHCN5QS0?autoplay=0&modestbranding=1&playsinline=0&rel=0&start=0&enablejsapi=1&origin=https%3A%2F%2Fwww.jobbnorge.no&widgetid=1

About the position

We have a vacancy for a PhD candidate in Eco-Visualization for Zero Emission Neighbourhoods for a 3 years PhD fellowship without teaching duties or up to 4 years with teaching duties. Depending on the candidate´s match with the teaching needs of the department. Trondheim is the place of duty.

For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

The candidate will be situated at the Department of Computer Science, Trondheim, and will be a member of the Research Centre on Zero Emission Neighbourhoods in Smart Cities (ZEN) in the work package on “Pilot projects and living labs” (WP6).  The ZEN research centre creates solutions for the zero-emission buildings and neighbourhoods of the future low carbon society. ZEN has nine pilot projects spread over Norway. The pilot projects are test areas that aim at reducing their greenhouse gas emissions towards zero within their life cycle.

Serving as innovation hubs, this is where the project tests new solutions for developing zero emission neighbourhoods. The pilot projects reflect the interdisciplinary character of the centre as different parties are working together: building professionals, property developers, public authorities, energy companies, building owners and users, and of course the researchers.

The focus of the PhD is to explore how feedback and eco-visualization, defined as “the dynamic means of revealing the consequences of resource use in order to promote sustainable behaviour, decision making and/or attitudes” may be used to stimulate participation amongst residents in Zero Emission Neighbourhoods. As part of the PhD, feedback concepts on energy production and use will be developed and tested out. (https://www.eceee.org/library/conference_proceedings/eceee_Summer_Studies/2017/4-mobility-transport-and-smart-and-sustainable-cities/eco-visualization-an-exploration-of-the-concept-and-its-practical-implications/).

The pilot projects include both new and well-established areas that will be upgraded and developed further, involve more than 30.000 people, and cover more than 1 mio. square meters. (https://fmezen.no/).

You will report to Head of Department and assoc. prof. Erica Löfström.

Duties of the position

The candidate will work specifically on one or more of the ZEN pilot projects to develop eco-visualizations for households and neighbourhoods. This includes:
a.    To map and categorize existing eco-visualization theories and concepts relevant for zero emission neighbourhoods.
b.    To develop a toolbox of eco-visualization concepts and/or prototypes of different functionality levels relevant for zero emission neighbourhoods.

The ZEN neighbourhood(s) will be used as test site(s) for developing the concepts. In addition, the ZEN living lab(s) will be used for testing of evaluation of the developed prototypes and concepts. 

The project is multi-disciplinary, drawing on expertise in the team from user-centred design, human-computer interaction, information systems research, environmental psychology and the social sciences. The PhD supervisors have an extensive international network in the above areas of expertise. 

Required selection criteria

The PhD-position’s main objective is to qualify for work in research positions. 

  • The qualification requirement is that you have completed a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in an area of relevance for the project, or equivalent education with a grade of B or better in terms of NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you are unable to meet these criteria you may be considered only if you can document that you are particularly suitable for education leading to a PhD degree.
  • You must meet the requirements for admission to the faculty’s doctoral program.
  • A master degree in a relevant field of study. Relevant educational backgrounds include, but are not limited to: design (interaction-, product- and co-design etc.), human-computer interaction, architecture, social sciences and behavioral sciences.
  • Applicants must document well-developed analytical and problem solving skills, be motivated for doing research, and be able to work independently (short essay).
  • Good written and oral English skills.

The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and Regulations concerning the degrees of Philosophiae Doctor (PhD) and Philosodophiae Doctor (PhD) in artistic research national guidelines for appointment as PhD, post doctor and research assistant  

Preferred selection criteria

  • Applicants with an interdisciplinary background will be looked upon favourably. 
  • Experience with co-design, prototyping, qualitative/quantitative user studies, and/or usability testing, will be looked upon favourably.
  • Good written and oral skills in a Scandinavian language is an advantage.

Personal characteristics

  • Good levels of cooperative and communicative skills are important. 
  • Works together with others across established reporting lines.
  • Approaches others to develop new relationships or strengthen existing ones.
  • Relates to other people in an open and accepting way.

We offer

Salary and conditions

As a PhD candidate (code 1017) you are normally paid from gross NOK 491 200 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 3 years without teaching duties or 4 years with teaching duties, depending on the candidate´s match with the teaching needs of the department. 

Appointment to a PhD position requires that you are admitted to the PhD programme in Computer Science within three months of employment, and that you participate in an organized PhD programme during the employment period. 

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.

The successful applicant is required to remain a resident of Trondheim throughout the entire project period (no exceptions).

It is a prerequisite you can be present at and accessible to the institution on a daily basis.

About the application

The application and supporting documentation to be used as the basis for the assessment must be in English.

Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above. 

The candidate(s) must submit a short essay (max. 1000 words) together with the application. The essay shall describe
(1)    at least one relevant project where the applicant had a major role (e.g. research project, course project, thesis work, start-up, hobby project), and show how it relates to the challenges of the PhD topic as described above, and
(2)    suggest how the applicant would involve users in the pilot neighborhood(s) in developing eco-visualizations (https://fmezen.no/category/pilot-projects/).
 
The main working languages are Norwegian and English. The candidate is expected to possess strong skills in oral and written English. As the end users are Norwegian, skills in a Scandinavian Language is desired, but not required.

The application must include:

  • A cover letter including an explanation of how your research interests and background would fit the position.
  • Information about education and relevant experience (a CV).
  • Certified copies of academic diplomas and certificates.
  • Diploma Supplement is required to attach for European Master Diplomas outside Norway. 
  • A short essay (max. 1000 words) as described above, documenting at least one relevant project where the applicant had a major role, how it relates to the challenges in the eco-visualization project, and a suggestion for how to involve users in the design process.
  • Names and contact information of at least two references.

Incomplete applications will not be taken into consideration.

If the applicant’s mother tongue is not English or a Scandinavian language, and the Master’s Degree is not from an English-speaking country, the following tests can be used as documentation of English language skills: TOEFL, IELTS and Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:

  • TOEFL: 600 (paper-based test), 92 (Internet-based test).
  • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted).
  • CAE/CPE: grade B or A.

If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both bachelor’s and master’s education, in addition to other higher education. Description of the documentation required can be found here. If you already have a statement from NOKUT, please attach this as well.

Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates. 

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment – DORA.

General information

Working at NTNU

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. 

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the innovation capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.

As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.

Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.

Potential successful candidates will be interviewed via Skype or other means.

If you have any questions about the position, please contact associate professor Erica Löfström, erica.lofstrom@ntnu.no  phone: +47 47 66 87 66 or professor Dag Svanæs, e-mail: dags@idi.ntnu.no  phone: +47 73 59 18 42, or Head of Department Heri Ramampiaro, email: heri@ntnu.no. If you have any questions about the recruitment process, please contact HR, e-mail: hr@idi.ntnu.no.

Please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates. Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).

If you are invited for interview you must include certified copies of transcripts and reference letters. Please refer to the application number 2021/9216 when applying.

Application deadline: 07.08.22

Hovedbygningen

NTNU – knowledge for a better world

NTNU – knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Computer Science 

We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department of Computer Science is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

Read the job description at the university homepage

Apply for this job

Deadline

7th August 2022

Post expires on søndag august 7th, 2022

Postdoc in Single photon quantum technologies

The Niels Bohr Institute
Faculty of Science
University of Copenhagen

The Niels Bohr Institute (NBI), University of Copenhagen, is seeking an enthusiastic researcher for a postdoc in the quantum photonics group (www.quantum-photonics.dk) on next-generation single-photon quantum devices within the project “FIRE-Q: Field-Ready Single-Photon Quantum Technologies”. The position will be part of the Center for Hybrid Quantum Neworks (Hy-Q, https://hy-q.nbi.ku.dk/) led by Prof. Peter Lodahl. The center is a collaboration between the quantum nanophotonics group and the groups of Prof. Anders Sørensen (www.tqo.dk) and Prof. Albert Schliesser  (www.nbi.dk/~aschlies/research.html). In total the center employs approximately 50 scientists working on hybrid quantum networks.

The successful candidate will be joining the Innovation Fund Denmark’s FIRE-Q project. FIRE-Q is an international project between industry and academia involving three major Danish universities (University of Copenhagen, Technical University of Denmark, and Aarhus University) and four companies in photonic technology. FIRE-Q’s vision is to bring single-photon quantum technology to the market, enabling unbreakable secure communication and ultimately parallel quantum computing [1]. The key building block is a source of single photons [2] that can be transmitted over long distances in existing optical fiber networks. Following a modular approach, we will deliver the hardware required for photonic quantum computing in a scalable photonic platform. At NBI, we have developed a field-ready single-photon source at telecom wavelength using frequency conversion [3] together with industrial and academic partners. As a postdoc you will perform real-world field tests of quantum-secure communication protocols and develop new technology towards the realization of fully device-independent quantum key distribution systems [4].  

We are looking for an ambitious and driven researcher with strong applied- and innovation-oriented mindset, with a keen interest in working in applied research. The ideal candidate holds a Ph.D. in physics or optical engineering and has a strong experimental background in the areas of quantum optics, quantum photonics, or semiconductor optics. Experience working with cryogenic equipment, as well as quantum key distribution are a plus.

[1] R. Uppu et al, “Quantum-dot-based deterministic photon–emitter interfaces for scalable photonic quantum technology,” Nat. Nanotechnology 16, 1308-1317 (2021).

[2]  R. Uppu et al, “On-chip deterministic operation of quantum dots in dual-mode waveguides for a plug-and-play single-photon source,” Nat. Commun. 11, 3782 (2020).

[3] B. Da Lio et al, “A pure and indistinguishable single-photon source at telecommunication wavelength”, Adv. Quantum Technol., 2200006 (2022). https://onlinelibrary.wiley.com/doi/10.1002/qute.202200006 

[4] E. M. Gonzalez-Ruiz et al, “Violation of Bell's inequality with quantum-dot single-photon sources,” arXiv:2109.14712, (2022). https://doi.org/10.48550/arXiv.2109.14712

Further information on the Department is linked at https://www.science.ku.dk/english/about-the-faculty/organisation/. Inquiries about the position can be made to Assoc. Prof. Leonardo Midolo, midolo@nbi.ku.dk and Prof. Peter Lodahl lodahl@nbi.ku.dk

The position is for 2 years and open from 01.09.2022 or as soon as possible thereafter.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Terms of employment

The position is covered by the Memorandum on Job Structure for Academic Staff.

Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.

Negotiation for salary supplement is possible.

The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include

  • Curriculum vitae
  • Diplomas (Master and PhD degree or equivalent)
  • Research plan – description of current and future research plans
  • Complete publication list
  • Separate reprints of 3 particularly relevant papers

The deadline for applications is 10 (day) June (months) 2022 (year), 23:59 GMT +2.

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

Interviews will be held on week 26

Deadline: 2022-06-10 at 23:59
Unit: Faculty of Science

Read the job description at the university homepage or apply.

Post expires on fredag juni 10th, 2022