Tag Archives: Uppsala

Postdoctoral position

Health/Life sciences

Published: 2024-02-19

The Department of Immunology, Genetics and Pathology at Uppsala University has a broad research profile with strong research groups focused on cancer, autoimmune and genetic diseases. A fundamental idea at the department is to stimulate translational research and thereby closer interactions between medical research and health care. Research is presently conducted in the following areas: cancer precision medicine, cancer immunotherapy, genomics and neurobiology, molecular tools and functional genomics, neuro-oncology and neurodegeneration and vascular biology. Department activities are also integrated with the units for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including Master Programmes, at the Faculty of Medicine, and at the Disciplinary Domain of Science and Technology. The department has a yearly turnover of around SEK 500 million, out of which more than half is made up of external funding. The staff amounts to approximately 345 employees, out of which 100 are PhD-students, and there are in total more than 700 affiliated people. Feel free to read more about the department’s activities here: www.igp.uu.se

Duties
The research group is studying the Ras-like family of Rho GTPases, which are key regulators of the actin filament system and thereby control vital cellular processes such as cell morphogenesis, cell polarity and cell migration. The research is aimed to elucidate the Rho-dependent signalling mechanisms in health and disease. The project is focused on the role of the so-called atypical Rho GTPases, which is a subclass of the Rho GTPases, in rare cancers, such as malignant mesothelioma. The project will involve cell biology and imaging methods but also omics-techniques, such as proteomics and transcriptomics, as well as bioinformatics. The principal goal is to elucidate the mechanisms behind the derailed function of atypical Rho GTPases in cancer cell migration and metastasis and to identify new targets for drug treatment. The applicant will be able to act as a supervisor for students doing thesis or temporary project work in the group. The applicant will moreover participate in group-wide activities such as lab meetings, journal clubs etc. The applicant is expected to work independently to plan and conduct experiments and analyses within the specified research area.

Requirements
PhD degree in molecular cell biology or a foreign degree equivalent to a PhD degree in molecular cell biology. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.
The applicant should have a strong background in molecular cell biology with a focus on cancer. The project requires that the applicant has excellent laboratory skills and is familiar with computational analysis of experimental data. Examples of methods with which the applicant must have solid experience include advanced microscopy analysis such as fluorescence microscopy, confocal microscopy and live cell imaging. The applicant should also have good knowledge in image analysis, morphometric analysis of cells. Applicants should also have general skills in common lab work such as cell culture, bacterial culture, DNA analysis, protein analysis. Knowledge of bioinformatics is an advantage.

About the employment
The employment is a temporary position of 2 years according to central collective agreement, with the posibility of 1 year extension Full time position. Starting date as agreed. Placement: Uppsala

For further information about the position, please contact: Pontus Aspenström, pontus.aspenstrom@igp.uu.se

Please submit your application by 2 April 2024, UFV-PA 2023/1456.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-04-02 at 23:59
Unit: Department of Immunology, Genetics and Pathology

Read the job description at the university homepage or apply.

Up to 7 PhD Students in Business Studies

Social Sciences/Economics

Published: 2024-02-20

The Department of Business Studies is the largest department within the Faculty of Social Sciences at Uppsala University, with its approximately 140 co-workers and 3500 undergraduate students. We conduct extensive PhD education and have about 35 PhD students. The research schools MIT and FIRE are also connected to the department. The department conducts research and provides PhD education in the following fields: Accounting/Finance, Entrepreneurship, International Business, Marketing and Organisation/Management. The department has Swedish as its working language, but most research at the department is conducted in English.

The PhD student positions are announced following:

  • 2 general PhD student positions in Business Studies. We would like to see applicants in Marketing and Organisation but also in Accounting, Entrepreneurship and International Business. Financed through faculty funding.

Within organisation, research is currently conducted in organisational influence. Therefore, we welcome applicants for the following project:

While organisational research has given much attention to how environments shape organisations, less attention has been devoted to how organisations try to influence their environments. In a post-liberalization era, where calls for regulating the operation of businesses are increasingly heard, this is a question of utmost importance. Corporations, NGOs and public agencies alike try to bring about change in policy, sometimes by swaying public opinion, and sometimes more concretely by direct influence on policy and decision making. The rapid development of AI and digitalization, as well as the questioning of globalization has furthermore claimed to have reconfigured both the concentration of power, wealth and the modes of influence. In this project, we depart from the observation that influence has a tendency to gravitate towards certain places in organisational landscapes, be they formal organisations or more informal networks, that in turn become hubs for production and reproduction of influence. This means that policy is configured in fields comprising a wide set of actors: corporations, universities, lobbyists and other interest organisations as well as NGO’s and social movements.

A PhD candidate would be welcome to formulate his or her own research project broadly situated within this realm of work. The choice of empirical field, theories and methods is flexible, and the approach can be contemporary, or historical. Examples of questions could concern modes of organizing influence, new type of organisational actors or longitudinal development of influence organisations. A candidate would be offered to work in an active research environment, in conjunction with several ongoing research projects within organisational theory, dealing with questions about elite organisations, social networks and corporate policy change.

  • up to 5 PhD student positions in Business Studies related to the following research projects:

Project 1: The Growing Firm – Decisions about Innovation and Global Expansion

Firm growth is a central feature in the study of businesses. Firms desire to escape becoming stagnant and thus inherently have a wish to grow. Growth can be viewed as an evolutionary process characterized by creative destruction, wherein firms innovate, introduce novel products, and venture into new markets to drive growth. This alludes to the question that acts as a general point of departure for the current project: what influences decisions on the growth of the firm?

Decision-making is an essential process in firms that managers engage in, enabling them to make strategic choices that shape the organization’s future, for example, in relation to growth via, e.g., innovation and global expansion. For the project, we seek candidates interested in strategic management, particularly in innovation and internationalization processes. The PhD student will be supervised by experienced researchers with a functional background in international business and innovation management, who also will participate in the project work.

Number of positions: 1

Note: This position is subject to availability of external funding.

Project 2: Decoding Digital Transformation in Multinational Corporations

Central to the field of international business and the study of multinational corporations lie themes pertaining to the strategic placement of operations and the effective management of international activities across diverse host country landscapes. The connection between the placement of activities and factors influencing location decisions, as well as the management of the interface between multinational corporations and various host country environments, global contexts, and digital transformation at local and global levels, is integral to this discourse.

It has been observed that multinational corporations increasingly leverage digital technologies to manage and streamline their global operations. However, there is a dearth of understanding regarding the effects of this digital transformation on the reconfiguration and coordination of international activities. For example, questions related to digital transformation abound about how host country diversity influences multinational corporations’ strategies and its relationship with globalization and localization efforts. Furthermore, the impact of digital transformation on entry modes, as well as its performance effects, remain largely unexplored. The Ph.D. project aims to address processes and implications of digital transformation within multinational corporations with a focus on investigating how multinational corporations implement digital technologies to decide on new locations and coordinate business activities.

We seek candidates interested in international business and digital transformation for the project. The PhD student will be supervised by experienced researchers with a functional background in international business, who also will participate in the project work

Number of positions: 1

Note: This position is subject to availability of external funding.

Project 3: From Invention to Innovation: Novelty, Impact and Value of Patents in 20th Century Sweden

Innovation and technological change are key components of modern economic growth, something that has been quantified and measured with patent data. At the same time, as a huge number of patents are granted every year, it is paramount for scholars in innovation studies to understand which innovations are truly important for the processes of technological change and industrial renewal. In Swedish industrial history, this means investigating what innovations were pivotal for the country to become one of the leading innovators at a global level today.

This doctoral project brings to the international research frontier a fresh interdisciplinary approach; transcending traditional foci on patent statistics and citations. The student will apply novel digital research methods in natural language processing and machine learning (AI research) to new and unique patent data about historical patents in Sweden now available for research. The interdisciplinary perspective combines the disciplinary areas of social sciences (theories that will guide research questions), data science (technical methods), and digital humanities (digital studies in a historical context). The project covers the late 1910s to the oil crises in the mid-1970s. During this period, Sweden transformed into an industrialized nation with world-class innovations spurring internationalizing firms. While patenting in Sweden in the late nineteenth century is rather well examined, the period covered in this project is much less so.

We seek candidates interested in fields such as innovation, strategy, industrial dynamics, entrepreneurship, business and economic history, and digital methods, for the project. The PhD student will be supervised by experienced researchers with a background in innovation studies, economic history and digital humanities, who also will participate in the project work.

Number of positions: 1

Note: Since archival material is written in Swedish, basic knowledge in Swedish, in addition to requirements below, is a requirement for the position.

Note: This position is subject to availability of external funding.

Project 4: Pay with Engagement

Research into financial actors and financial services, including insurance companies, has a long tradition at the Department of Business Administration, Uppsala University. We are now looking for a PhD student for a research project where the purpose is to investigate whether and how an insurance company can create engaged, satisfied and loyal customers through proactive damage prevention activities using digital processes and AI. The digitization of all parts of society is ongoing and brings revolutionary effects. Application of new technologies that use artificial intelligence (AI) for assessment and decision-making, or machine learning develops new processes in companies’ interaction with customers. In the project customer engagement is central. Engagement is a multidimensional concept that can be defined as a manifested behaviour and as a psychological state that arises through interactive experiences that are co-created in the interaction between the consumer and a focal object such as a brand. The project will study insurance customers in Sweden through both focus groups and experimental methods.

Number of positions: 1

Note: Fluency in Swedish is a requirement for the position in addition to requirements below.

Note: This position is subject to availability of external funding.

Project 5: Directions and Drivers of Technological Trajectories of Swedish MNCs over the Past Three Decades

In the early 1990s, a number of studies were published that highlighted the technological development and international competitiveness of Swedish multinationals. However, we know very little about what has happened over the past three decades. During this period, the global economy and corporate management have undergone a number of changes that have altered the conditions for companies’ technological development. Based on patent data and annual reports, the research project intends to highlight patterns in technology development in some 40 Swedish multinational companies, with a focus on where in the world the development takes place, how it has been affected by global crises, and the connection to changing corporate management.

For this project, applicants will need to be interested in the collection and analysis of quantitative data, and to possess or be able to develop the ability to apply advanced statistical methods. Knowledge of Swedish language is an advantage but not a requirement.

Number of positions: 1

Note: This position is subject to availability of external funding.

General information

Duties: The duties of a PhD student are primarily focused on his/her own research education, (4 years full-time), 90 academic credits of courses and 150 credits research for the doctoral thesis. To a limited extent (maximum 20 %), the work may also involve other departmental duties, mainly related to teaching undergraduate courses – in which case the position may be extended to maximum five years. General rules about PhD education can be found (in Swedish) in Högskoleförordningen Chapter 5, §§ 1-7, in Uppsala University rules and in the General Study Plan for PhD studies at the Department of Business Studies, Uppsala University.

Requirements: General entry requirement: an advanced level qualification, has satisfied fulfillment of the requirements for courses comprising at least 240 credits, of which at least 60 credits awarded at the advanced level, including at least 15 credits for an individual piece of work, or has acquired substantially equivalent knowledge in some other way.
Specific entry requirement: courses in Business Studies comprising 90 credits.

In order to receive a PhD position, the candidate needs to be admitted to the doctoral programme, and for this, his/her potential ability to pursue the programme is decisive.

Note that a master thesis that has not yet been completed and assessed by the application deadline is given respite until May 29, 2024.

Requirements – Language requirement in English: All applicants need to verify English language proficiency that corresponds to English studies at upper secondary (high school) level in Sweden (“English 6”). This can be done in a number of ways, including through an internationally recognised test such as TOEFL or IELTS, or through previous upper secondary (high school) or university studies.

The minimum test scores are:

  • IELTS: an overall mark of 6.5 and no section below 5.5
  • TOEFL: Paper-based: Score of 4.5 (scale 1–6) in written test and a total score of 575. Internet-based: Score of 20 (scale 0–30) in written test and a total score of 90
  • Cambridge: CAE, CPE

More information about English language requirements

Requirements – Language requirement in Swedish:

For project 3 “From Invention to Innovation: Novelty, Impact and Value of Patents in 20th Century Sweden” basic knowledge in Swedish is a requirement.

For project 4 “Pay with Engagement” fluency in Swedish is a requirement.

Criteria for assessment of applications: please see the criteria.

The application must include:

  1. CV
  2. Certified graduation diploma and transcripts of academic records, and other relevant documents that prove general and specific eligibility.
  3. Research proposal in either English or Swedish (max. 12,000 characters including spaces). The research proposal should address the main research questions and the relevance of the project, relate the project to relevant previous research in the field, and present issues regarding data and methodology.
  4. Motivation letter. In the motivation letter you will have to specify which project position you are interested in.
  5. Master thesis and books, articles, scripts, etc invoked. Note that a master thesis that has not yet been completed and assessed by the application deadline is given respite until May 29, 2024.
  6. TOEFL/IELTS-test (or equivalent). Note that applicants with a master’s degree from an English-speaking university or programme do not need to prove their English skills by submitting a TOEFL/IELTS-test. Information about English tests can be found in the link above.
  7. Two letters of reference/recommendation (for example, from university teachers or employers). The letters have to include the contact information to the referees (e-mail address and phone number). The recommendation should state in what way the referent has known the applicant. We are particularly interested in an assessment of the applicant in terms of our admissions criteria. Instructions for recommendation letters.

Interview: An evaluation committee assesses the applications and provides a recommendation for which candidates should be called for interviews. Call for interviews will take place April 12, April 15-16 and (if necessary) May 6-8, 2024 to selected candidates. Those who successfully pass the interviews will have to do a written assignment.

About the employment
The employment is a temporary position according to the Higher Education Ordinance, chapter 5 § 7. Scope of employment 100%. Starting date August 21, 2024. Placement: Uppsala.

For further information about the positions, please contact Director of PhD studies Susanne Åberg, ph +46 (0)18 471 1391, susanne.aberg@fek.uu.se or administrator for PhD studies Golondrian Janke, ph +46 (0)18 471 1369, golondrian.janke@fek.uu.se.

You are welcome to submit your application by April 2, 2024, UFV-PA 2024/586. Only complete applications with supporting documents will be reviewed.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

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

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-04-02 at 23:59
Unit: Social Sciences/Economics

Read the job description at the university homepage or apply.

Postdoc position in electric vehicle battery modelling

Engineering/it

Published: 2024-02-15

The Department of Chemistry – Ångström conducts research and education in the chemistry field. The department has more than 270 employees and has a turnover of 290 million SEK. At the department’s six programs, we conduct very successful research of a high international standard. We have a large number of externally funded research projects, often with international cooperation and we see continued good growth in our subject area. The department has education assignments in engineering programs and master’s programs. More information is available on our website. (https://kemi.uu.se/angstrom/?languageId=1). 

The Department of Chemistry – Ångström Laboratory has for many years hosted an environment focused on research and development of materials and their applications within the energy storage area: the Ångström Advanced Battery Centre. We develop novel electrode and electrolyte materials, characterize them, evaluate and improve them with respect to battery performance, and study fundamental chemical processes and properties using both experimental and computational techniques. The research is, as such, both fundamental and applied.

Work duties
The main duties involved in a post-doctoral posistion is to conduct research. Teaching may also be included, but up to no more than 20% of working hours. The project concerns modelling of electric vechiles, primarily heavy duty vehicles, and their interaction with the grid in future scenarios. The load on the electric vechile battery pack will affect its ageing, which in turn depends on cell chemistry, cooling, pack design, etc. The project aim is to model battery ageing from realistic user scenarios, coupled to system level model of the vehicle. The research will be carried out in collaboration with a vehicle manufacturer. 

Supervision of master thesis and PhD students may be involved. Collaboration with other universities and industry will be necessary for the project. The research will primarily involve physical modelling of Li-ion batteries through finite element methods and electric-electrochemical modelling of vehicle batteries. 

Requirements
PhD degree in chemistry, physics, materials science or engineering, or a foreign degree equivalent to a PhD degree in these disciplines. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.

The assessment of applications is based primarily on the applicant’s ability to conduct independent research based on scientific skill. Greater importance is attached to the quality of individual scientific work, than to the amount of publications.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen ongoing research within the department, and how they stand to contribute to its future development.

The applicant shall be well familiar with modelling techniques and software in multiphysics (Ansys, Comsol or similar), or alternatively with electric modelling techniques for batteries. The applicant should be fluent in written and spoken English. 

Desirable qualifications
Experiences in battery technology, especially Li-ion batteries, will be beneficial. Programming skills and experiences of working with large datasets will be useful.

About the employment
The employment is a temporary position of 2 years according to central collective agreement. Scope of employment 100 %. Starting date June 1, 2024 or as agreed. Placement: Uppsala

For further information about the position please contact: Prof. Daniel Brandell, +46-18-4713709, Daniel.Brandell@kemi.uu.se

Please submit your application by April 1 2024, UFV-PA 2024/584.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden. 

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-04-01 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD student in Scientific Computing focusing on Scientific Machine Learning

Engineering/it

Published: 2024-02-15

Are you interested in working in the area of scientific machine learning, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for a PhD position at Uppsala University. 

The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.

The position is hosted by the Division of Scientific Computing (TDB) within the Department of Information Technology. As one of the world’s largest focused research environments in Scientific Computing the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence, where it plays key roles in several new strategic initiatives at the University. The division currently hosts 20 PhD students, with more than 90 doctorates awarded. Several PhD alumni from the division are successful practitioners in the field of scientific computing and related areas, in industry as well as in academia.

The division is also an important part of the eSSENCE strategic collaboration on e-science, and the Science for Life Laboratory (SciLifeLab) network. SciLifeLab is a leading institution and national research infrastructure with a mandate to enable cutting-edge life sciences research in Sweden, foster international collaborations, and attract and retain knowledge and talent. The successful candidate will be hosted by the Scientific Machine Learning group at TDB. The group specializes in developing theory, methods and software for enabling data driven science. We have a wide network of collaborators, and there will be opportunities to work together with excellent researchers within Sweden and abroad.

Project description
The successful candidate will join us in developing principled foundations of learning from noisy datasets, with opportunities to validate the methods on challenging scientific problems. There will be a strong focus on deep learning and Bayesian methods in the context of the project. We will consider the problem setting of simulation-based inference, where machine learning models are used to learn expressive, informative features from high-dimensional scientific data arising from both, simulations and experiments. We will consider various forms of data, including structured representations such as time series (e.g., studying protein interactions via observed copy numbers) and images (e.g., microscopy). Technical keywords for the position include variational inference, likelihood-free parameter inference, robust learning and large-scale optimization.

Duties
A Ph.D. student is expected to devote their time to graduate education mainly. The rest of the duties may involve teaching at the Department, including also some administration, to at most 20%.

Requirements
To meet the entry requirements for doctoral studies, you must

  • hold a Master’s (second-cycle) degree in computer science, computational science, applied mathematics, engineering physics, machine learning, data science, or a related field, or
  • have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.

We are looking for candidates with

  • a strong interest in optimisation, machine learning, and Bayesian inference,
  • good communication skills with sufficient proficiency in oral and written English,
  • excellent study results, 
  • programming proficiency (preferably in Python),
  • personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving are essential.

Additional qualifications
Experience and courses in one or more subjects are valued: optimisation, probabilistic machine learning, linear algebra and deep learning.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

Application
The application must include: 
1) a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including a self-assessment on why you would be the right candidate for this position; 
2) a CV;
3) degrees and transcript of records with grades (translated to English or Swedish); 
4) the Master’s thesis (or a draft thereof, and/or some other self-produced technical or scientific text), publications, and other relevant documents; 
5) references with contact information (names, emails and telephone number) and up to two letters of recommendation. 
 
Applicants who meet at least one of the entry requirements are strongly encouraged to apply. All applicants should state their earliest possible starting date.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 19 August 2024 or as agreed. Placement: Uppsala. 

For further information about the position, please contact: Assistant Professor Prashant Singh, e-mail: prashant.singh@scilifelab.uu.se; Head of Division Emanuel Rubensson, emanuel.rubensson@it.uu.se.

Please submit your application by 2 April 2024, UFV-PA 2024/616.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-04-02 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD student in Machine Learning building on physical principles

Engineering/it

Published: 2024-02-15

Are you interested in working in the intersection between machine learning and physics, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for a PhD position at Uppsala University.                        

Uppsala University has a long tradition of successful research – among its alumni are 16 Nobel Prize laureates, including, most recently, Svante Pääbo. The University is unique when it comes to combining IT with wider research, from life sciences to the humanities, and this collaboration is currently facilitated by AI4Research and the Centre for Interdisciplinary Mathematics.

The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.

At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security.

The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Cambridge, University of Oxford, Imperial College, University of Sydney, University of Newcastle and Aalto University. We strive for all PhD students to get a solid international experience during their PhD.

Project description
There are two main strategies to derive and deduce models – either using theory-based first principles or data-driven approaches. This project aims to conduct basic research to create new tools for using these two modeling strategies in conjunction. Combining all prior knowledge, both in terms of available data and physical first principles, has the potential to result in better models than if we only had to rely on one of them. How physics should be combined with data-driven machine learning models depends on the problem and is an active and in many areas still underdeveloped research field. 

By making machine learning models more physics-informed, they will also become more interpretable. This interpretability can transform these machine learning models from being black-box models into full-fledged scientific tools enabling new knowledge discoveries. Therefore, one aim of this project is to create machine learning models that not only can be leveraged by first principles, but in the future also can be used to enable new knowledge discoveries in the physical domains in which they are employed. Finally, the project also aims to use theories from physics to better understand why machine learning models are working, how they can be improved and quantify their fundamental limitations. 

We have a strong connection with collaborators in physics and material science at Uppsala University, with a growing interest in using machine learning methods to advance knowledge in their respective domains. These collaborations can enable relevant applications as part of the project.

The exact research topic is decided in a dialogue between the doctoral student and the supervisor. The position is funded by the Swedish Research Council.

Duties
A doctoral student will devote the time to graduate education mainly. The rest of the duties may involve teaching at the Department, including also some administration, to at most 20%.

Requirements
To meet the entry requirements for doctoral studies, you must

  • hold a Master’s (second-cycle) degree in engineering physics, theoretical physics, applied mathematics, electrical engineering, data science or in a similar field, or
  • have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.

We are looking for candidates with

  • a strong interest in machine learning and physics,
  • good communication skills with sufficient proficiency in oral and written English,
  • excellent study results,
  • high proficiency in programming (preferably in Python),
  • personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving are essential.

Additional qualifications
Experience and courses in one or more subjects are valued: machine learning, deep learning, optimization, signal processing, control theory, thermodynamics, statistical mechanics. 

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

Application
The application must include: 
1) a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including a self-assessment on why you would be the right candidate for this position; 
2) a CV;
3) degrees and transcript of records with grades (translated to English or Swedish); 
4) the Master’s thesis (or a draft thereof, and/or some other self-produced technical or scientific text), publications, and other relevant documents; 
5) references with contact information (names, emails and telephone number) and up to two letters of recommendation. 

Applicants who meet at least one of the entry requirements are strongly encouraged to apply. All applicants should state their earliest possible starting date.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 19 August 2024 or as agreed. Placement: Uppsala. 

For further information about the position, please contact: Assistant Professor Niklas Wahlström, niklas.wahlstrom@it.uu.se.

Please submit your application by 28 March 2024, UFV-PA 2024/597.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-28 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD student in Machine Learning with a focus on generative models for nonlinear dynamics

Engineering/it

Published: 2024-02-15

Are you interested in working with generative machine learning methods and their use within nonlinear dynamical systems, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for a PhD position at Uppsala University. 

Uppsala University has a long tradition of successful research – among its alumni are 16 Nobel Prize laureates, including, most recently, Svante Pääbo. The University is unique when it comes to combining IT with wider research, from life sciences to the humanities, and this collaboration is currently facilitated by AI4Research and the Centre for Interdisciplinary Mathematics.

The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.

At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security.

The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Cambridge, University of Oxford, Imperial College, University of Sydney, University of Newcastle and Aalto University. We strive for all PhD students to get a solid international experience during their PhD.

The position is a part of the Beijer Laboratory for Artificial Intelligence Research, funded by Kjell and Märta Beijer Foundation. The Beijer Laboratory for Artificial Intelligence Research was established in 2023 at Uppsala University with an ambition to grow activities within the subject of AI, focusing on applications in the life sciences and questions related to societal development.

Project description
This project focuses on developing theory and probabilistic methods for generative modelling of nonlinear dynamical systems. These dynamical models are essential in explaining and understanding the world around us since many phenomena evolve over time. When it comes to modeling nonlinear dynamics, flexible models have the potential to significantly enhance performance over simple ones. Over the past two years we have focused more on generative models in this context, where we foresee an interesting future and the successful candidate will contribute to this. A key topic here is to design deep neural network models with longer memories. 

Duties
The doctoral position involves the development of theory and probabilistic methods for generative modeling of nonlinear dynamic systems. Related to this is the task of deriving algorithms that can be used to learn the unknown model parameters from the measured data. If there is interest we will also look into applications within life science and medicine via our collaborators in cardiology and neuro surgery.

The position is for four years but a maximum of five years, and may include departmental duties at a level of at most 20% (typically teaching).

Requirements
To meet the entry requirements for doctoral studies, you must

  • hold a Master’s (second-cycle) degree in engineering physics, computer science, electrical engineering, applied mathematics, machine learning, or in a similar field, or
  • have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.

We are looking for candidates with

  • a strong interest in developing new methods and models for generative machine learning, with a focus on nonlinear dynamical systems,
  • good communication skills with sufficient proficiency in oral and written English,
  • excellent study results,
  • good working knowledge in programming (preferably in Python or Matlab),
  • personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving are essential.

Additional qualifications
Experience and courses in one or more subjects are valued: statistical machine learning, optimisation, linear algebra, calculus, deep learning, programming, dynamical systems and control.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

Application
The application must include:
1) a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including a self-assessment on why you would be the right candidate for this position;
2) a CV;
3) degrees and transcript of records with grades (translated to English or Swedish);
4) the Master’s thesis (or a draft thereof, and/or some other self-produced technical or scientific text), publications, and other relevant documents;
5) references with contact information (names, emails and telephone number) and up to two letters of recommendation. 

Applicants who meet at least one of the eligibility requirements are strongly encouraged to apply. All applicants should indicate their earliest possible start date.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 1 September 2024 as agreed. Placement: Uppsala. 

For further information about the position, please contact: Professor Thomas Schön,  thomas.schon@it.uu.se.

Please submit your application by 28 March 2024, UFV-PA 2024/560.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-28 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD student in Machine Learning with a focus on scientific computing for applications in cancer research

Engineering/it

Published: 2024-02-15

Are you interested in working with scientific computing for applications in cancer research, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for a PhD position at Uppsala University. 

Uppsala University has a long tradition of successful research – among its alumni are 16 Nobel Prize laureates, including, most recently, Svante Pääbo. The University is unique when it comes to combining IT with wider research, from life sciences to the humanities, and this collaboration is currently facilitated by AI4Research and the Centre for Interdisciplinary Mathematics.

The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.

At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security.

The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Cambridge, University of Oxford, Imperial College, University of Sydney, University of Newcastle and Aalto University. We strive for all PhD students to get a solid international experience during their PhD.

The position is a part of the Beijer Laboratory for Artificial Intelligence Research, funded by Kjell and Märta Beijer Foundation. The Beijer Laboratory for Artificial Intelligence Research was established in 2023 at Uppsala University with an ambition to grow activities within the subject of AI, focusing on applications in the life sciences and questions related to societal development.

Project description
Cancer research is becoming increasingly quantitative. Mathematical and computational models are currently used to interpret pre-clinical and clinical cancer data. In this project, the doctoral student will develop mathematical models and computational methods that aim to elucidate and predict cancer dynamics. The doctoral student will combine modelling techniques that are used in classical mathematical biology (e.g., differential equation models) with methods from computational statistics and machine learning (e.g., Monte Carlo methods and neural networks). The doctoral student will join the Artificial Intelligence and Mathematics for Oncology (AIMOn) group, work with cancer data and have the opportunity to collaborate with experts in mathematics, statistics, machine learning, experimental cancer research and clinical cancer research. 

Duties
The position is for a maximum of five years and includes departmental duties at a level of at most 20% (typically teaching).

Requirements
To meet the entry requirements for doctoral studies, you must

  • hold a Master’s (second-cycle) degree in engineering physics, applied mathematics, physics, computer science, machine learning, or in a similar research field, or
  • have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.

We are looking for candidates with

  • a strong interest in mathematical and computational modelling for life-science applications,
  • good communication skills with sufficient proficiency in oral and written English,
  • excellent study results, 
  • good working knowledge in programming,
  • personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving are essential.

Additional qualifications
Applicants should be scientifically curious team players who would enjoy working in multi-disciplinary research teams. Experience with calculus, linear algebra and programming is required. No bio-medical knowledge is required.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

Application
The application must include:
1) a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including a self-assessment on why you would be the right candidate for this position;
2) a CV;
3) degrees and transcript of records with grades (translated to English or Swedish);
4) the Master’s thesis (or a draft thereof, and/or some other self-produced technical or scientific text), publications, and other relevant documents;
5) references with contact information (names, emails and telephone number) and up to two letters of recommendation. 

Applicants who fulfill at least one of the eligibility requirements are strongly encouraged to apply. All applicants should indicate their earliest possible start date.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 1 September 2024 or as agreed. Placement: Uppsala. 

For further information about the position, please contact: Assistant Professor Sara Hamis, e-mail: sara.hamis@it.uu.se.

Please submit your application by 28 March 2024, UFV-PA 2024/608.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-28 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

PhD student in Machine Learning with a focus on Vision-Language Models

Engineering/it

Published: 2024-02-15

Are you interested in working with language models and computer vision, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to apply for a PhD position at Uppsala University. 

The Department of Information Technology holds a leading position in both research and education at all levels. We are currently Uppsala University’s third largest department, have around 350 employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website.

At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical systems, neuroscience, and safety and security.
The Division of Systems and Control enjoys a wide network of strong international collaborators all around the world, for example at the University of Cambridge, University of Oxford, Imperial College, University of British Columbia, University of Sydney, University of Newcastle and Aalto University. We strive for all PhD students to get a solid international experience during their PhD.

The position is a part of the Beijer Laboratory for Artificial Intelligence Research, funded by Kjell and Märta Beijer Foundation. The Beijer Laboratory for Artificial Intelligence Research was established in 2023 at Uppsala University with an ambition to grow activities within the subject of AI, focusing on applications in the life sciences and questions related to societal development.

Project description
Vision-language models integrate computer vision and natural language processing techniques to process and generate information that combines both visual and textual modalities, enabling a more profound understanding of the content within images and videos. While vision-language models exhibit promising potential, they are currently in early stages of development. Effective integration of both modalities (vision and language), and aligning visual and text embeddings into a cohesive embedding space, continues to pose significant challenges.

In this project, the successful candidate will conduct basic research and methods development towards designing efficient vision-language models, exploring their applications in computer vision and analysing the consequential societal impact. Through our research, we aim to contribute significantly towards learning effective representations combining text, image and video data, potentially benefiting fields including surveillance and healthcare.

Duties
A Ph.D. student is expected to devote their time to graduate education mainly. The rest of the duties may involve teaching at the Department, including also some administration, to at most 20%.

Requirements
To meet the entry requirements for doctoral studies, you must

  • hold a Master’s (second-cycle) degree in computer science, applied mathematics, engineering physics, electrical engineering, machine learning, data science, image analysis, language technology, or in a similar field, or
  • have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.

We are looking for candidates with

  • a strong interest in machine learning, language modeling, image analysis and computer vision,
  • good communication skills with sufficient proficiency in oral and written English,
  • excellent study results, 
  • good working knowledge in programming (preferably in Python),
  • personal characteristics, such as a high level of creativity, thoroughness, and/or a structured approach to problem-solving are essential.

Additional qualifications
Experience and courses in one or more subjects are valued: statistical machine learning, optimisation, linear algebra, deep learning, natural language processing, image analysis and computer vision.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

Application
The application must include: 
1) a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including a self-assessment on why you would be the right candidate for this position; 
2) a CV;
3) degrees and transcript of records with grades (translated to English or Swedish); 
4) the Master’s thesis (or a draft thereof, and/or some other self-produced technical or scientific text), publications, and other relevant documents; 
5) references with contact information (names, emails and telephone number) and up to two letters of recommendation.

Applicants who meet at least one of the entry requirements are strongly encouraged to apply. All applicants should state their earliest possible starting date.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 19 August 2024 or as agreed. Placement: Uppsala. 

For further information about the position, please contact: Assistant Professor Ekta Vats, ekta.vats@it.uu.se; Professor Thomas Schön, thomas.schon@it.uu.se

Please submit your application by 28 March 2024, UFV-PA 2024/605.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-28 at 23:59
Unit: Engineering/it

Read the job description at the university homepage or apply.

Three PhD students in Mathematics, Applied Mathematics or Statistics

Physical sciences/Math

Published: 2024-02-19

Are you interested in working with Mathematics, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a PhD student position in Mathematics at Uppsala University.

The Department of Mathematics conducts research and provides education at undergraduate and graduate levels in Mathematics, Applied Mathematics and Statistics. The number of employees is 130, including 40 PhD students. The Department has three research programs: Analysis and Probability, Algebra and Geometry, Applied Mathematics and Statistics.

One of these positions will be connected  to a research project on random graphs, another one to a research project on Hecke algebras and categorical representation theory. The third position is general.

To read more please visit the department’s webpage.

Read more about our benefits and what it is like to work at Uppsala University

Duties
The duties of a PhD student are primarily directed at their own research education, which lasts for four years. The work may also involve, to a limited extent (maximum 20%, that is about  80 contact hours per year), other departmental duties, mainly related to teaching undergraduate courses – in which case the position may be extended to maximum five years.

Requirements
To meet the entry requirements for doctoral studies, you must

  • hold a Master’s (second-cycle) degree in Mathematics, Applied Mathematics or Statistics, or
  • have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project (e.g. a Master´s thesis) worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.

In addition, the candidate should have a good command of spoken and written English.

Application 

A complete application should include

  • a short and concise description of research interests, previous experiences and future expectations, in particular,  if you want to be considered for the position on random graphs or for the position on Hecke algebras and categorical representation theory, please state this clearly,
  • a Curriculum Vitae,
  • copies of diplomas and certificates of grades,
  • a copy of the master thesis (or a preliminary outline thereof), 
  • contact details of up to three referees. We do not want any letters of recommendation to be included in the application.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 1 September 2024 or as agreed. Salaries are according to the local agreement for PhD students. Placement: Uppsala.

For further information about the position, please contact: Director of Studies Julian Külshammer, tel +46(0)18 471 3489, e-mail julian.kuelshammer@math.uu.se, Professor Volodymyr Mazorchuk, phone+46 (0) 18 471 3284, e-mail volodymyr.mazorchuk@math.uu.se, Professor Erik Ekström, tel +46(0)18 471 3834, e-mail erik.ekstrom@math.uu.se. 

Please submit your application by 2 April 2024, UFV-PA 2024/570.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-04-02 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

Postdoctoral researcher in Computational Biology

Health/Life sciences

Published: 2024-02-19

The Department of Immunology, Genetics and Pathology at Uppsala University has a broad research profile with strong research groups focused on cancer, autoimmune and genetic diseases. A fundamental idea at the department is to stimulate translational research and thereby closer interactions between medical research and health care. Research is presently conducted in the following areas: cancer precision medicine, cancer immunotherapy, genomics and neurobiology, molecular tools and functional genomics, neuro-oncology and neurodegeneration and vascular biology. Department activities are also integrated with the units for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including Master Programmes, at the Faculty of Medicine, and at the Disciplinary Domain of Science and Technology. The department has a yearly turnover of around SEK 500 million, out of which more than half is made up of external funding. The staff amounts to approximately 345 employees, out of which 100 are PhD-students, and there are in total more than 700 affiliated people. Feel free to read more about the department’s activities here: www.igp.uu.se

The Vickovic Lab at Uppsala University is seeking a dynamic, self-motivated, team-oriented Postdoctoral Computational Scientist or Statistician to expand computational efforts in understanding disease mechanisms. We are interested in developing integrative multi-modal data analysis tools incorporating single cell and spatially resolved omics data, imaging data, clinical phenotypes, variants and genotypes. The successful candidate will have the unique opportunity to work at the intersection of mathematical modeling, omics data analysis, workflow optimization, and resource building.
The Vickovic Lab is focused on developing novel “digital pathology” tools to track disease progression with the aim of identifying translatable drug and therapeutic targets in human tissue cohorts. The team leverages technologies including spatial transcriptomics, single-cell sequencing, and machine learning. The person selected for this role would interact closely with the collaborators at the New York Genome Center, and there is a possibility to spend an extended period in New York as a visiting researcher.

Responsibilities may include

  • Develop new computational, machine learning, and statistical analysis methods for integrating and analyzing large-scale, spatially resolved RNA-seq and genotypic data using current state of the art technologies;
  • Develop data analysis strategies, write algorithms, and deploy computational tools for the exploration of very large data sets.
  • Develop a resource for the community that gives access to collected data;
  • Work closely with experimental colleagues and cores to understand the nature of generated data;
  • Actively participate in the preparation of manuscripts for publication and present at scientific conferences;
  • Assist in peer- and student-mentorship; and
  • Share expertise and provide training and guidance to group members as needed.

 Requirements

  • PhD degree in computational biology, statistics, applied mathematics, computer science, or related discipline required. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.
  • Prior experience with Bayesian inference, network inference, and spatial statistics are preferred, but exceptionally creative and driven scientists with an interest and adaptability will be seriously considered;
  • Strong oral and written communication, data documentation, and presentation skills required;
  • Experience writing scientific articles for publication required;
  • Ability to handle multiple projects at the same time required; and,
  • Excellent collaborative and interpersonal skills, and willingness to work in a fast-paced team environment required.

Additional qualifications
Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments.
Collaborative & Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so.
Adaptable & Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity.

About the employment
The employment is a temporary position of 2 years according to central collective agreement, with the possibility of 1 year extension Full time position. Starting date as agreed. Placement: Uppsala

For further information about the position, please contact: Sanja Vickovic, sanja.vickovic@igp.uu.se

Please submit your application by 30 April 2024, UFV-PA 2024/599.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-04-30 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Researcher with specialization in high-power amplifiers for particle accelerators

Health/Life sciences

Published: 2024-02-13

Are you interested in working with solid-state power amplifiers, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employee development and offers safe, favourable working conditions? We welcome you to apply for a researcher position at Uppsala University.

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 45,000 students, more than 7,000 employees and a turnover of around SEK 7 billion.

The Department of Physics and Astronomy is hosting the FREIA Division responsible for the FREIA Laboratory, where the research will be conducted. The research at FREIA gears towards future particle accelerators and instrumentation. The FREIA laboratory operates complex equipment such as superconducting cryostats and microwave equipment for developing and testing particle accelerator equipment. Current projects are connected to, for example, the European Spallation Source (ESS), MAX IV, the High Luminosity upgrade of the LHC at CERN. FREIA is also engaged in the development of free-electron lasers, and a compact X-ray laser and instrumentation in Uppsala, and in the development of RF high-power amplifiers based on solid state transistors for particle accelerators.

Project description

FREIA is collaborating with ESS on the design, development, construction and testing of a 400 kW solid state amplifier at 352 MHz, to replace the tetrode-based power stations which are currently installed at ESS to power the spoke cavity section of the accelerator. The successful candidate will contribute to our efforts in advancing the field of particle accelerators by taking part in the work with completing and characterizing the prototype RF power station in close collaboration with ESS staff.

Duties

  • Lead the design and experimental efforts in the fabrication, assembly, and testing of microwave solid-state power amplifiers with power levels from 1 kW per module to 20 kW and more per amplifier.
  • Analyze experimental data and contribute to the interpretation of results, leading to writing and publishing scientific contributions in highly ranked journals and conferences.
  • Develop high-efficiency microwave power amplifiers.
  • Develop low-loss high-power microwave combiners.
  • Conduct feasibility studies leading from a conceptual design to a final demonstrator.
  • Present findings at conferences, workshops, and seminars to share knowledge and engage with the global scientific community, and to enhance knowledge dissemination and societal engagement.
  • Contribute to the writing of proposals for research grants.

Requirements

Applicants must have a doctoral degree in physics or electrical engineering, or equivalent. We are looking for a person with a very good microwave engineering profile. The candidate should have a proven experience with the development of high-power solid-state power amplifiers and power combiners; hands on measurements of modules at kilowatt level and power amplifiers. The candidate must have experience with the use of a vector network analyzer (VNA), software for calculating EM-fields like HFSS, CST or similar. Very good oral and written proficiency in English, as well as the capacity to work both independently and in a team, are requirements. The work will partially take place at ESS in Lund, Sweden, wherefore frequent travel will be required.

Additional qualifications
A demonstrated ability to apply for and obtain research grants from external sources is a merit. 

About the employment
The employment is a permanent position (probationary period may be applied). Scope of employment 100 %. Starting date 2024-03-01 or as agreed. Placement: Uppsala.

For further information about the position, please contact:

Dragos Dancila, e-mail: dragos.dancila@angstrom.uu.se, phone +46 72 366 31 80.

Please submit your application by 26 February 2024, UFV-PA 2024/541.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-02-26 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Researcher in Strings, quantum fields and geometry

Physical sciences/Math

Published: 2024-02-13

The Department of Mathematics conducts research and provides education at undergraduate and
graduate levels in mathematics, applied mathematics and statistics. The number of employees is 130, including 40 PhD students. The Department has three research programs: analysis and probability, algebra and geometry, applied mathematics and statistics. To read more please visit the department ‘s web page. 

The Department of Mathematics is now looking for a researcher in strings, quantum fields, and geometry.

Duties
You will work under the supervision of Dr. Michele Del Zotto, at the interface of the group of geometry and physics at the Department of Mathematics and the group of theoretical physics of the Department of Physics and Astronomy. The duties include collaboration with the various members of the group and the production of research results.

Requirements
PhD degree in mathematics or Theoretical Physics, or a foreign degree deemed equivalent to a PhD degree in mathematics or theoretical physics.

Preference will be given to candidates with proven experience in the context of geometric engineering methods in quantum field theory and strings/M/F-theory.

Application
Please include in your application the following attachments in pdf format:

1. Cover Letter (including the contact information for 3 references);
2. CV (including a publication list);
3. Research statement (2 pages + 1 extra page for references, longer statements will not be considered)

About the employment
The employment is a temporary position, 1 month. Scope of employment 100 %. Starting date 1 June 2024. Placement: Uppsala

For further information about the position, please contact: Michele Del Zotto, tel. +46 (0)18-471 3192, e-post: michele.delzotto@math.uu.se.

Please submit your application by 28 February 2024, UFV-PA 2024/535.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-02-28 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

Researcher in Radiosensitization by high-Z atoms

Physical sciences/Math

Published: 2024-02-14

Researcher in Radiosensitization by high-Z atoms

Are you interested in working with radiosensitization by high-Z atoms, with the support of competent and friendly colleagues in an international environment? Are you looking for an employer that invests in sustainable employeeship and offers safe, favourable working conditions? We welcome you to apply for a researcher position at Uppsala University.

The research conducted at the Department of Physics and Astronomy encompasses a wide range of physics topics, distributed over nine divisions. The department is located in the Ångström laboratory and employs nearly 400 people, 100 of whom are doctoral students. It offers a broad physics curriculum to undergraduate and graduate students, participation in nationally and internationally leading projects for researchers, and opportunities for partnership with industry and various outreach activities. Read more on www.physics.uu.se

The division of X-ray Photon Science is world-leading in the use of advanced spectroscopy methods. This puts us in the forefront in atomic-level studies of atoms, molecules and condensed matter. This division includes the research program Chemical and Bio-Molecular Physics, which as host of the project has a special focus on the fundamental properties and ultrafast processes in atoms, molecules, chemical systems, and proteins. With X-ray scattering and spectroscopy, we reveal how electrons and nuclei move and interact to explain how properties and function emerge.

Duties

You will be involved in a fundamental research project of molecular-scale processes connected to radiosensitization by high-Z atoms, which in the longer perspective could lead to improved radiotherapy. The focus will be on X-ray-induced processes in atoms and molecules, both in gas phase, nano-solvated and in water. This will be experimental research at synchrotron radiation facilities with a suite of experimental techniques, including electron-ion-coincidence techniques to study the fragmentation dynamics of prototype biomolecules radiosensitized with high-Z atoms, and electron spectroscopy to reveal the intramolecular processes connected to radiosensitization by high-Z atoms. This will involve conceptualization of experiments, planning and carrying out of beamtimes, data analysis including interaction with theoreticians, as well as publication of results.

Requirements

PhD degree in physics or materials science, documented experience of experimental research at synchrotron radiation facilities, especially electron-ion-coincidence studies of fragmentation of molecules radiosensitized with high-Z atoms, and relevant analysis methods, including Igor. Documented experience of presenting scientific results both orally and in writing. Proficiency in written and spoken English. The nature of the experimental work at synchrotron radiation facilities requires the successful candidate to be both cooperative and independent, as well as flexible, determined and achievement-oriented.

Additional qualifications

Experience of research in an international environment, and scientific project leading. Publishing within the relevant subject in international recognized scientific journals.  

About the employment
The employment is a temporary position, 12 months. Scope of employment 100 %. Starting date as agreed. Placement: Uppsala

For further information about the position, please contact: Olle Björneholm, +46704250220, olle.bjorneholm@physics.uu.se

Please submit your application by 4 March 2024, UFV-PA 2024/561.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-02-28 at 23:59
Unit: Physical sciences/Math

Read the job description at the university homepage or apply.

Postdoctoral researcher in economics

Social Sciences/Economics

Published: 2024-02-12

The Department of Economics is one of the largest departments within the Faculty of Social Sciences with approximately 100 employees from a dozen countries. Each year about 1,000 students participate in undergraduate (BA), graduate (MA) and PhD level courses. Researchers at the department are frequently engaged as experts by the government and by the media, and interact with the society at large in a number of ways.

Duties
The duties consists of research, own and together with the participants, within the ongoing research project ”The Macroeconomy and High-Dimensional Heterogeneity on the Micro Level” financed by Riksbankens Jubileumsfond (see here for more information). Moreover, teaching at most 20% of the time is included in the position.

Requirements
A PhD degree in economics or a foreign degree equivalent to a Ph.D. degree in economics. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.

Additional qualifications
Competence and experience related to the questions within the project are advantageous. Particularly concerning macroeconomic models with heterogeneous agents, machine learning algorithms (especially with regard to causal inference), applied microeconometrics, and microsimulation models.

The assessment of applications is primarily based on the applicant’s ability to conduct independent research based on scientific excellence. Greater emphasis is placed on the quality of each individual scientific work rather than the quantity of publications. Proficiency in spoken and written English is a requirement.

How to apply
Required documents for the application:

  • Personal letter that clearly states the candidates research interests, qualifications and relevant work experience (max 2 pages)
  • CV
  • List of publications
  • Copy of doctoral degree (if available)
  • Contact information to three references

Please also inform us about any circumstances that may be relevant for the evaluation of your qualifications (such as parental-leave periods). The application must be written in English.

About the employment
The employment is a temporary position of two years according to central collective agreement. Full time position. Starting date September 2nd 2024 or as agreed. Placement: Uppsala

For further information about the position, please contact: Professor Mikael Carlsson, telephone: 018-4717140, e-mail: mikael.carlsson@nek.uu.se

Please submit your application by 1 March 2024, UFV-PA 2024/539.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-01 at 23:59
Unit: Social Sciences/Economics

Read the job description at the university homepage or apply.

PhD Position in Aesthetics at the Department of Philosophy

Humanities

Published: 2024-02-09

The Department of Philosophy is an internationally recognized research environment, and conducts teaching and research in many core areas of philosophy and aesthetics. For more information about the department, see https://www.filosofi.uu.se/

 

Duties
The successful applicant will be offered a position as a PhD candidate (“doktorandanställning”) for 4 years full-time, during which the PhD candidate will receive a salary as an employee at the department. See details about start salary below. They will also be eligible for Swedish social benefits, including pension schemes and paid parental leave. PhD candidates are expected to engage in their studies full-time and to participate in the activities of the department. The position may include teaching and other assignments. Certain duties, including teaching, qualify the student for an contract extension of their contract. The positions are available from 1 September 2024.

Requirements
Please note that admission to the PhD programme at Uppsala University is highly competitive. The successful candidate will have a solid academic background and training in philosophical aesthetics and have completed a Master degree (or equivalent) in philosophy or aesthetics at the time of appointment. Most of the philosophical aesthetics research at the department is conducted in English and within the analytic tradition. The fit between the proposed research and the expertise of available supervisors is also a consideration in our selection.

Your application should include (a) a brief CV, outlining your academic progress to date, (b) a statement outlining your proposed research (4–5 pages), (c) an examined writing sample (e.g. Master thesis or equivalent), (d) copies of diplomas or equivalent documentation of eligibility and academic qualifications, and (e) two reference letters. These documents are uploaded in the application portal (no need to upload anything in remaining sections). 

Guidelines (in English) for doctoral studies at the Faculty of Arts are available here: Guidelines for Third Cycle Education at the Faculty of Arts

For more information (in Swedish), see also http://www.filosofi.uu.se/utbildning/forskarniva/.

Rules governing PhD candidates are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 1 September 2024 or as agreed. Placement: Uppsala.

Starting salary 2024 for Phd candidates according to local collective agreement is 30 700 SEK/month

For further information about the position, please contact: Elisabeth Schellekens, Head of Department and Chair Professor of Aesthetics, elisabeth.schellekens@filosofi.uu.se.

Please submit your application by 15 March 2024, UFV-PA 2024/438.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-15 at 23:59
Unit: Humanities

Read the job description at the university homepage or apply.

PhD Position in Theoretical philosophy at the Department of Philosophy

Humanities

Published: 2024-02-09

The Department of Philosophy is an internationally recognized research environment, and conducts teaching and research in many core areas of philosophy and aesthetics. For more information about the department, see  https://www.filosofi.uu.se/

Uppsala University hereby announces a position as a doctoral student in Theoretical philosophy at the Department of Philosophy. For this position we are primarily interested in candidates working in philosophy of language, general philosophy of science, ancient philosophy, or epistemology (including epistemology in the history of philosophy).

Duties
The successful applicant will be offered a position as a PhD candidate (“doktorandanställning”) for 4 years full-time, during which the PhD candidate will receive a salary as an employee at the department. See details about start salary below. They will also be eligible for Swedish social benefits, including pension schemes and paid parental leave. PhD candidates are expected to engage in their studies full-time and to participate in the activities of the department. The position may include teaching and other assignments. Certain duties, including teaching, qualify the student for an contract extension of their contract. The positions are available from 1 September 2024.

Requirements
To qualify for a doctoral position at Uppsala University, a candidate should hold a Master’s (second-cycle) degree or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level, or have acquired substantially equivalent knowledge in some other way.

The main language for academic activities at the Department of Philosophy is English. Good language skills in English, both spoken and written, are required for the position.

Additional qualifications
For this position we are primarily interested in candidates working in philosophy of language, general philosophy of science, ancient philosophy, or epistemology (including epistemology in the history of philosophy).

Your application should include (a) an application letter; (b) a brief CV, including the names and contact details of one to three referees; (c) a statement outlining your proposed research (4–5 pages); (d) one to two writing samples (BA or MA thesis, or longer advanced texts at BA or MA level); (e) copies of diplomas or equivalent documentation of eligibility and academic qualifications. These documents are uploaded in the application portal (no need to upload anything in remaining sections). 

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1–7 and in Uppsala University’s rules and guidelines.

Guidelines for Third Cycle Education at the Faculty of Arts

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %.  Starting date September 1 2024 or as otherwise agreed. Placement: Uppsala.
Starting salary 2024 for Phd students according to local collective agreement is 30 700 SEK/month

For further information about the position, please contact: Elisabeth Schellekens, Head of Department and Chair Professor of Aesthetics, elisabeth.schellekens@filosofi.uu.se.

Please submit your application by March 1 2024, UFV-PA 2024/435.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what  it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-01 at 23:59
Unit: Humanities

Read the job description at the university homepage or apply.

Researcher within Bioethics and Preference Research

Health/Life sciences

Published: 2024-02-09

The Center for Research and Bioethics (CRB) is an interdisciplinary centre located at the Department of Public Health and Care Sciences at Uppsala University. The centre’s researchers have degrees in, e.g. medicine and care, ethics, philosophy and law and work to investigate ethical, philosophical and legal aspects of research, clinical and academic activities. The research group is now looking for a researcher in bioethics and preference research.

Duties
The work develops in two directions and involves conducting theoretical and empirical research independently and with others to examine the ethics of urban and home lighting and the ethical, legal, and social aspects of precision medicine and decision aids in cancer care. Specifically, the work includes creating a public health ethics framework to justify and provide guidance on lighting interventions in urban environments. An empirical bioethics approach is used to investigate norms and values embedded in public attitudes toward different urban and home lighting solutions.

Furthermore, thematic analysis of physician views on precision oncological medicine and the use of heavy computational methods in care are performed. The work also encompasses contributing to a quantitative investigation of cancer patients’ preferences for treatment.In addition to writing research articles and reports, the position also involves some participation in CRB’s teaching and, to some extent, administrative tasks. The recipient of the position is also expected to seek external research funding actively by himself and with others.

Requirements
The position requires a PhD in medical sciences focusing on public health and bioethics. Professional proficiency in English and certified Swedish language knowledge is required. Good collaboration skills, previous experience in international and interdisciplinary collaborations, and demonstrated experience in grant writing. Expertise in the methods mentioned in the Duties above is needed, including normative and theoretical bioethics, as well as experiences of using both qualitative and quantitative empirical research in the area.

Additional qualifications
Previous research in the same research areas, for example, through relevant publications in scientific journals, is also meritorious. So is previous experience with the discrete choice experiments method in patient preference research.

About the employment
The employment is a temporary position, 12 months. Scope of employment 100 %. Starting date as agreed. Placement: Uppsala.

For further information about the position, please contact: Stefan Eriksson, phone number +46 18-471 61 98, stefan.eriksson@crb.uu.se

Please submit your application by 23rd of February 2024, UFV-PA 2024/327.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

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

Read the job description at the university homepage or apply.

Postdoctoral Researcher in the field of complex interventions

Health/Life sciences

Published: 2024-02-08

Postdoctoral Researcher in the field of complex interventions

The position is within the research group Healthcare Sciences and e-Health at the Department of Women’s and Children’s Health. The group is hosting U-CARE, an interdisciplinary research programme (http://www.u-care.uu.se). The overall aim of the work within U-CARE is to increase access to psychological support for individuals grappling with somatic illnesses and their close ones.

Our research primarily focuses on studying mental health in patients with various somatic illnesses and their relatives, and we aim to develop, test, evaluate, and implement support and psychological interventions for these groups. We also investigate the best ways to recruit individuals for clinical studies and effectively motivate continued participation. We employ both quantitative and qualitative methods, including systematic literature reviews, meta-analyses, feasibility and pilot studies, as well as controlled and cohort studies. Our broad expertise in research methodology was recognised in the latest evaluation of research at Uppsala University.

Duties
The individual we are seeking will have the opportunity to work on their own research projects as well as contribute to ongoing research within the Healthcare Sciences and e-Health research group and U-CARE. The research should align with U-CARE’s overarching goal of developing, testing, evaluating, and implementing complex interventions for patients and/or their close ones. During the postdoctoral period, the successful candidate is expected to actively apply for research grants from national and international research funding bodies. The appointee is also expected to engage in teaching, particularly at a PhD level, and supervise PhD students.

Requirements

For the position, the following is required:

  • A doctoral degree in the field of health sciences, clinical psychology, caring sciences, or a related subject, or a foreign degree deemed equivalent to a doctoral degree in these areas. The degree must be completed by the time the employment decision is made. Priority will mainly be given to those who obtained their degree no more than three years ago. The three-year timeframe is calculated from the closing date of the application. If there are specific reasons, such a degree may have been obtained earlier. Specific reasons include leave due to illness, parental leave, trust assignments within trade unions, etc.
  • Experience in scientific work with intervention research
  • Experience in analysing and reporting data collected through both quantitative and qualitative methods
  • Proficiency in both Swedish and English, both spoken and written

Considerable importance will be given to personal attributes, including leadership and prioritisation skills, analytical abilities, collaboration skills, and a strong awareness of quality. As an applicant, you should excel in both independent work and collaboration within smaller project groups.

Desirable/meriting skills

  • Experience in applying for and securing funding for research
  • Experience in planning and conducting feasibility and pilot studies, as well as controlled studies
  • Experience in public contribution to research, i.e., collaborating with representatives of the groups affected by the research
  • Experience in working on process evaluation in the context of intervention research
  • Experience in research on the implementation of complex interventions
  • Experience in conducting health economic evaluations in the context of intervention research
  • Experience in independently writing and publishing scientific articles

About the employment
The employment is a temporary position of two years with a possibility to extend one year according to central collective agreement.  Full time position. Starting date as agreed. Placement: Uppsala

For further information about the position, please contact: research group leader and programme director, Professor Louise von Essen (louise-von.essen@uu.se, +44 (0) 70-425 07 14), or assistant research group leader, Associate Senior Lecturer Joanne Woodford (joanne.woodford@uu.se).

Please submit your application by 1 March 2024, UFV-PA 2024/498.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-01 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

PhD student in Molecular Ecology

Health/Life sciences

Published: 2024-02-08

The Department of Ecology and Genetics is an international environment with staff and students from all over the world. Our research spans from evolutionary ecology and genetics to ecosystem studies. Learn more at www.ieg.uu.se.

We are now looking for a PhD student in Molecular Ecology to the program Animal Ecology.

In the Animal Ecology program, we study the ecological causes and evolutionary consequences of variation among and within animal species. Our workplace constitutes a large and international academic research and training environment. We strive to nurture stimulating discussions and interactions in English, which is our working language. We interact closely with other programs at the Department of Ecology and Genetics, and we have a broad international network of research collaborations with colleagues and organizations from different countries.

Project description
Animals carry a multitude of microorganisms that collectively constitute their microbiome. These microbes are incredibly important for a host as they provide essential nutrients, train the immune system, and communicate with the host’s nervous system. This doctoral project aims to contribute to a better understanding of the microbiome’s role in wild animals, with a special focus on the Scandinavian wolverine, a key predator and scavenger in the Swedish fauna. The PhD student will analyze both the wolverine’s diet (prey animals) and gut microbiome in detail using modern DNA sequencing in the form of metabarcoding. The plan is to evaluate whether the diet can predict the composition and diversity of the microbiome, describe the variation observed within the species, and investigate how individuals living in zoos differ from their wild counterparts.

Duties
Research and studies within the subject area, with a focus on the microbiomes of wild animals. A significant portion of the research will involve analyses of DNA metabarcoding data (both diet and microbiome) and associations between these datasets. The student will also need to establish communications with zoological parks and retrieve their samples. Tasks include writing scientific manuscripts and presenting the results at international conferences. Active participation in the research group’s activities, including training of master students and involvement in various collaborative research projects, are other important aspects of the responsibilities of the PhD student.

Qualifications required
To meet the entry requirements for doctoral studies, you must

  • hold a Master’s (second-cycle) degree in ecology, evolutionary biology, bioinformatics, microbiology, genetics, or another relevant field, or
  • have completed at least 240 credits in higher education with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
  • have acquired substantially equivalent knowledge in some other way.

The candidate needs to be highly motivated with an interest in molecular ecology. We attach great importance to personal qualities such as an ability to work independently and organized, while also being able to work collaboratively within the research group and engage in different projects. Candidates must be able to express themselves very well in spoken as well as written English. Swedish skills are not necessary.

Qualifications desired
Experience in the programming language R, bioinformatics, and other genetic analyses are valuable, but not a requirement for this position. An interest in conservation genetics and a desire to learn more about animal microbiomes are highly recommended.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 §7. Scope of employment: full-time. Starting date as soon as possible as agreed upon. Location: Uppsala.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines.

For further information about the position, please contact: Dr. Elin Videvall, elin.videvall@ebc.uu.se.

Please submit your application by 11 March 2024, UFV-PA 2024/507.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

Deadline: 2024-03-11 at 23:59
Unit: Health/Life sciences

Read the job description at the university homepage or apply.

Postdoc position in bioinformatics & spatial modeling using metabarcoding data

Engineering/it

Published: 2024-02-07

The Department of Organismal Biology teaches and explores the evolution, development and function on the organismal level. For more information see www.iob.uu.se.

The position is placed within the Biodiversity Data Lab (http://biodiversity.se), with Tobias Andermann as main supervisor. At the Biodiversity Data Lab, we are working on the intersect of computational biology and biodiversity research, developing new computational methods and fieldwork/labwork workflows to quantify the complexity of biodiversity, mostly focusing on terrestrial systems. Our vision is to one day be able to reliably capture the complete biodiversity at a given site in a standardized and reproducible manner. We are a young and dynamic research group with the mission of contributing through our research to alleviating the ongoing biodiversity crisis. We value innovative ideas, a collegial and non-hierarchical atmosphere, and high-quality and high-impact research. And above all we enjoy what we are doing!

Duties/Project description
Metabarcoding of environmental DNA samples provides unprecedented opportunities for biodiversity research, as it offers comprehensive biodiversity inventories of a given site across the whole tree of life. Despite some existing methodological limitations leading to biases in species detection, these data represent a true revolution in biodiversity assessments, as for the first time we are able to detect the large hidden diversity of undescribed and taxonomically inconspicuous species, making up more than 80% of all species on this planet. In this project we will harness the potential of these data and utilize them in traditional statistical models for species distribution modeling and modeling of species richness. We will also explore the potential of new deep learning approaches, building up on custom models developed in our previous and ongoing research at the Biodiversity Data Lab.

More specifically the project will consist of the following major steps:

  • Data mining and organization of metabarcoding data from public databases and dataset provided by collaborators
  • Processing metabarcoding datasets using internal bioinformatic pipeline (this pipeline is already fully functional, but may require specific adaptations for some datasets)
  • Extracting geographic information from individual species/ASV sequences from metabarcoding datasets, including presences and absences
  • Compiling environmental predictors, including remote sensing data (using our existing pipeline you will have access to >60 environmental predictors for any given site)
  • Species distribution modeling using conventional methods as well as custom-built neural network approaches (in case this matches candidate’s background and/or interest)

We already explored the feasibility of this project with a small pilot study where we compiled more than 2000 metabarcoding samples, showing promising results. Your role will be to lead the project including the steps listed above, and lead the publication of the results as first author. During the whole project duration, you will have access to domain knowledge on metabarcoding data from other members of the Biodiversity Data Lab, to methodological expertise through our AI consultant, and to bioinformatic support from the NBIS support center, if needed. We are excited to have you join our team!

The candidate will primarily devote the time to his/her own research. Other departmental work, such as teaching or administration can be part of the position, based on interest and availability (maximum 20% of fulltime, extending the position-duration accordingly). The applicant must be eligible for a postdoctoral position at Uppsala University. 

Requirements
PhD degree in biology or a foreign degree equivalent to a PhD degree in biology. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree less than three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year period is the application deadline. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.

We are looking for a highly motivated candidate who enjoys challenges and can independently explore new ideas. The ideal applicant has a background in working with genomic data, preferably within the context of eDNA, and should be comfortable with bioinformatics and basic statistics. The candidate should have excellent communication skills (spoken and written English).

Additional qualifications
In filling this position, the university aims to recruit the person who, in the combined evaluation of competence, skills and documented qualifications, is judged most suitable to carry out and develop the work-in-hand and to contribute to a positive development of the department. Additional valuable qualifications include coding experience in Python, R, or similar, as well as experience with working on computing clusters. Experience with species distribution modelling and/or other spatial analyses are additional merits that are relevant for the position.

Application
The application should include 1) a letter of intent describing yourself, your research interests and motivation of why you are applying for this position, 2) a short description of your education, 3) a CV, 4) a copy of your PhD degree and course grades, 5) the names and contact information (address, email address, and phone number) of at least two reference persons, 6) relevant publications (including PhD thesis). The application should be written in English.

About the employment
The employment is a temporary position of at least two years and at most three years
 years according to central collective agreement. Scope of employment 100 %. Starting date 2024-04-01 or as agreed. Placement: Uppsala

For further information about the position, please contact: Tobias Andermann, tobias.andermann@ebc.uu.se.

Please submit your application by 29 February 2024, UFV-PA 2024/380.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden.

Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all of our 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of Sweden’s most exciting workplaces.

Read more about our benefits and what it is like to work at Uppsala University
https://uu.se/om-uu/jobba-hos-oss/

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University’s recruitment system.

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

Read the job description at the university homepage or apply.