Postdoctoral Researcher in Inorganic Chemistry - Mg-based Thermoelectric Thin Film Materials
Department of Chemistry - Ångström conducts research and education in chemistry. The Department has 270 employees and an annual budget of 290 million SEK. The Department's six research programs conduct highly successful research of high international caliber. We have a large number of externally funded research projects, often with international collaboration, and we see continued strong growth in our field. The Department has educational responsibilities within engineering and civil engineering programs as well as master's programs. More information is available on our website: https://kemi.uu.se/angstrom Read more about our benefits and what it's like to work at Uppsala University Project Description The project involves research in growth by physical vapor deposition (PVD), fundamental materials science studies of thin films of Mg-based ceramic materials (Mg2Si, Mg2Sn, Mg3Bi2) fabricated with PVD, and characterization of properties (thermoelectric, mechanical, chemical). Main Responsibilities The primary duties of a postdoctoral researcher are to conduct research. These may also include teaching, up to 20% of work time. The focus is on developing and characterizing thin film materials of Mg-based ceramic materials (Mg2Si, Mg2Sn, Mg3Bi2) fabricated with PVD, characterizing the materials, with room for the postdoctoral researcher's own project ideas within the broader framework of PVD research activities. Responsibilities may also include internal collaborations, including with thesis students and doctoral candidates, and collaboration with external partners. Qualifications Required: Doctorate degree, or a foreign degree assessed as equivalent to a doctorate, in materials science, chemistry, or similar. The degree must be completed by the time the employment decision is made. Preferably, the degree should have been completed no more than three years ago. In calculating the three-year period, the deadline for application is the starting point. If there are special reasons, such a degree may have been completed earlier. Special reasons include leave due to illness, parental leave, positions of trust within labor organizations, etc. Evaluation of applications will primarily be based on the applicant's ability to conduct independent research based on scientific competence. Greater weight is placed on the quality of each individual scientific work than on the number of publications. Consideration is also given to good collaboration skills, drive and independence, and how the applicant's experience and competence complement and strengthen ongoing research at the Department and how they can contribute to its future development. Excellent English language skills, both spoken and written, are required. Desirable/Meritorious Qualifications Experience in multicomponent materials/high-entropy alloys is meritorious. About the Position The employment is time-limited for 2 years, with the possibility of extension for an additional year. The position is 100%. Start date by agreement. Location: Uppsala For information about the position, contact: Professor Per Eklund, [email protected] Welcome to submit your application by August 31, 2026, UFV-PA 2026/2455. 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 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country's most exciting workplaces. Read more about our benefits and what it's like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The employment may be subject to security screening. Security screening is a prerequisite for employment; applicants must be approved. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Labor representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
Research Assistant for Families in Vulnerable Situations
Do you want to work on improving access to support for families in vulnerable situations? Now you have the opportunity to do so with the support of competent and friendly colleagues in an international environment! You are welcome to apply for a position as a Research Assistant at Uppsala University. The Department of Women's and Children's Health has a strong multiprofessional and international research environment. We conduct research aimed at improving the health of individuals, both in Sweden and globally. You will work within the research group International Child Health and Nutrition with projects in the subgroup Practice-Based Health Promotion and Prevention in Vulnerable Groups. Responsibilities You will be part of a project group conducting research aimed at increasing knowledge about the needs of and facilitating support for families in vulnerable situations, including families affected by the incarceration of a family member. Your responsibilities are linked to preparation for and implementation of data collection, data management after collection, and compilation and reporting. You will work in a project group with close collaboration on tasks, while also being expected to take high levels of personal responsibility. Qualification Requirements You must have completed education at least at the Master's level in a medical or social science field to be eligible for the position. You must be able to communicate fluently in Swedish, both orally and in writing. Since part of the work involves handling qualitative data, you must have some experience with this from previous work, for example conducting interviews and to some extent handling interview data (or similar qualitative data). Good collaboration skills are a requirement. We will place great emphasis on your personal qualities. You must have a high degree of attention to detail and experience working from your own or existing structure. Desirable/Meriting Qualifications It is meriting to have analyzed and reported qualitative data. It is also meriting to have previously worked with basic statistics and with evaluations of interventions. About the Position The position is time-limited for 4 months. The position is 75%. Start date September 1 or by agreement. Location: Uppsala Information about the position is provided by: (Åsa Norman, [email protected]) In this recruitment, we have replaced the cover letter with questions that you answer in connection with your application. The answers will be used as part of the selection process. Welcome to submit your application no later than August 25, 2026, UFV-PA 2026/2410. 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 7,500 employees and 53,000 students who with curiosity and commitment make Uppsala University one of the country's most exciting workplaces. Read more about our benefits and what it's like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The position may be subject to security clearance. For security clearance, a requirement for employment is that the applicant is approved. We decline offers of recruitment and advertising assistance. Applications are received in Uppsala University's recruitment system. Trade union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
Doctoral Position in Microbiology
The Department of Medical Biochemistry and Microbiology (IMBIM) at Uppsala University is a broad international environment for research and teaching. At IMBIM, basic research is conducted in biochemistry, cell and molecular biology, tumor biology, comparative genetics, functional genomics, immunology, bacteriology, and virology. The department's research is primarily fundamental in nature, but has clear connections and significance for health and disease in both animals and humans. A more detailed description can be found at Research – Department of Medical Biochemistry and Microbiology – Uppsala University We are seeking a highly motivated person with a strong interest in pursuing doctoral studies in medical microbiology. Expected start date is autumn 2026 or by agreement. Project Summary The research groups that the candidate will join focus on mechanisms of plasmid copy number variation in bacteria, with a strong emphasis on infection biology and the evolution of antibiotic resistance. Plasmids play a central role in the spread of antimicrobial resistance between different bacterial species and environments. The project aims to determine how variations in plasmid copy number affect resistance development and horizontal gene transfer. To achieve these goals, the successful candidate will have access to a large collection of genetically well-characterized microorganisms, advanced methods, and an interactive and stimulating work environment. Duties The primary responsibility of a doctoral student is to pursue doctoral training, which includes both participation in research projects and doctoral training courses. Work duties may also include teaching and other departmental work, but no more than 20% of working time. Qualification Requirements To be eligible for doctoral education, you must have completed a degree at advanced level with a focus on genetics, microbiology, evolutionary biology, or a related field, or completed at least 240 higher education credits, of which at least 60 higher education credits at advanced level including an independent project of at least 15 higher education credits, or acquired equivalent knowledge in some other way. We are looking for a candidate with laboratory experience in cell and molecular biology and microbiology. Experience in bacterial genetics is a requirement. Excellent oral and written communication skills in English are required. The candidate's personal qualities such as collaboration and communication skills, as well as analytical ability, will be considered. The candidate is expected to take own initiative as well as collaborate with national and international colleagues both within and outside the group. Desired/Meritorious Qualifications Experience in bioinformatics and statistics is highly meritorious. Regulations for doctoral students can be found in the Higher Education Ordinance 5 chap §§ 1-7 and in the university's rules and guidelines. About the Position The position is time-limited, according to HF 5 chap § 7. Full-time. Start date as soon as possible or by agreement. Work location: Uppsala Information about the position is provided by: University Lecturer Helen Wang, [email protected], Professor Dan I Andersson, [email protected] Welcome to submit your application no later than September 21, 2026, UFV-PA 2026/2474. 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 7,500 employees and 53,000 students who with curiosity and commitment make Uppsala University one of the country's most exciting workplaces. Learn more about our benefits and what it's like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The employment may be subject to security vetting. In the case of security vetting, a condition for employment is that the applicant is approved. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Labor representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected] Open to Everyone We focus on your skills, not your other circumstances. We are open to adapting the role or workplace according to your needs.
HR Administrator
The Department of Surgical Sciences (IKV) is part of the Faculty of Medicine and Pharmacy. We conduct both research and education at undergraduate, advanced, and doctoral levels. Research is carried out by approximately 20 research groups organized around different surgical specialties and related subjects, and education takes place within, among others, medical, nursing, and specialist nursing programs. IKV has approximately 140 employees, over 200 registered doctoral students, and roughly 900 people connected to the department in various ways. Many of our employees also have joint positions between the university and the hospital. The administrative support function at IKV currently consists of 16 staff members working in areas such as HR, finance, course administration, communication, and doctoral education. Their shared task is to support the department, its leadership, employees, and students. The HR function's task is to support the department's director, leadership, and employees in all HR-related work in the organization. We are currently two people working with operational HR support, and we are now seeking to strengthen the team with an HR Administrator! As an HR Administrator, you will be an important addition to the HR function and the administrative support team as a whole. We welcome your application and hope you will become our colleague! Main Responsibilities As an HR Administrator, you will collaborate with the department's HR Coordinator and HR Generalist to provide comprehensive support to the department's leadership and employees. You will primarily work with various types of HR administrative tasks, such as recruitment, extension of doctoral and postdoctoral positions, employment contracts, record keeping, and other HR-related work. You will also work with calculations of service time, registrations in the university's catalog system, and handling of terminations of employment, including notice periods, certificates, and notifications. As part of our HR function, you will also work with occupational health and safety and equal opportunities matters. As an HR Administrator, you are expected to stay updated on laws, regulations, ordinances, and collective agreements within the HR field. You will also participate in developing and improving our HR routines and processes together with your HR colleagues. As an HR Administrator, you will be in close contact with the department's employees and other staff members, which makes the work varied and stimulating. It is therefore important that you thrive in a social and communicative role. IKV is a clinical department, which means we work closely with Academic Hospital. You will therefore meet many different people and professional groups and work in a varied and exciting environment where the university and hospital meet. The HR Administrator role is new at the department, and the work tasks may therefore be adapted within the framework of the HR function's work and responsibilities. Qualifications Required We are looking for someone who has: Post-secondary education in an area relevant to the position Recent relevant work experience with HR administrative tasks Basic knowledge of labor law Very good skills in the Office package Very good skills in Swedish and English, both spoken and written Great emphasis will be placed on personal suitability. We are looking for someone who can plan your work well, who is thorough, and who has a good ability to maintain structure in parallel processes. You can work independently and enjoy driving your work forward. To succeed in the role, you need to have good social and communication skills and be service-oriented. Furthermore, you have a flexible approach, are responsible, self-driven, unpretentious, and care about contributing to a good working environment. You also enjoy collaboration and are someone who is stimulated by developments and improvements that add value to the organization. Desirable/Meriting Qualifications Experience of similar work within public administration is meriting, as well as experience with Uppsala University's HR administrative systems (such as Primula, Varbi, and AKKA). A university or college degree in personnel and working life is meriting. About the Position The employment is time-limited until 2027-06-30. Start date 2026-11-01 or by agreement. Full-time position. Work location: Uppsala Information about the position is provided by: Acting HR Coordinator Louise Walther, [email protected] or Administrative Manager Robert Malmgren, [email protected]. In this recruitment, we have replaced the personal letter with questions that you answer in connection with your application. The answers will be used as part of the selection process. Welcome to submit your application no later than August 24, UFV-PA 2026/2297. 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 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country'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/ The position may be subject to security vetting. Security vetting is a requirement for employment, and applicants must be approved. We decline offers of recruitment and advertising assistance. Applications are received in Uppsala University's recruitment system. Trade union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
Postdoctoral Researcher in Physical Geography with Focus on the Future of the Greenland Ice Sheet
Postdoctoral Researcher in Physical Geography with Focus on the Future of the Greenland Ice Sheet Would you like to work studying mass changes of Greenland's ice sheet, supported by competent and friendly colleagues in an international environment? Do you want an employer that invests in sustainable employee relationships and offers secure, attractive working conditions? We welcome you to apply for a postdoctoral position at Uppsala University. The Department of Earth Sciences is Sweden's most comprehensive academic environment for research and education in geoscience. Here you will find broad expertise that contributes to solutions for important societal challenges. Earth is a dynamic planet that is constantly changing. To understand how our planet works, our researchers seek answers in the field, through laboratory experiments, and advanced models. Our research and education cover a wide range of areas: rocks and minerals, weather and climate, the evolution of life, natural disasters, wind energy and energy, environmental and water engineering, and sustainable development. Our research combines natural sciences and engineering with social sciences and is often interdisciplinary. The department employs over 300 people from more than 30 countries, both in Uppsala and at Campus Gotland. Our six research divisions: Geophysics • Air, Water and Landscape Science • Mineralogy, Petrology and Tectonics • Natural Resources and Sustainable Development • Paleobiology • Wind Energy For more information, see: https://www.uu.se/institution/geovetenskaper The advertised position is within the research program Air, Water and Landscape Science (LUVAL), which brings together research and education in hydrology, meteorology, environmental analysis, and physical geography. Research in physical geography has a main focus on cold environments, with a primary emphasis on glaciological topics, but also other aspects of the cryosphere. Duties The postdoctoral researcher will work on a project funded by the Swedish Space Agency, with the primary aims of creating a new mapping of bedrock topography and ice thickness for the Greenland ice sheet, and simulating the ice sheet's development through 2300. To achieve this, a new inverse modeling-based method will be used that reconstructs the bedrock topography beneath the ice, while also providing a starting point for predictive modeling. Following recent applications on plateaus and valley glaciers in the Arctic and subarctic (see, for example, Frank and Van Pelt, 2024; Van Pelt and Frank, 2025), and an application to all valley glaciers on Earth (Frank et al. 2026), the method will be optimized in this project for use on the Greenland ice sheet, while utilizing the latest high-resolution satellite data products. Ice flow modeling will be conducted using the Parallel Ice Sheet Model (PISM), though machine learning alternatives such as the Instructed Glacier Model (IGM) will also be considered. The project will involve close collaboration with a doctoral student in the same research group at Uppsala University as well as collaboration with international colleagues at Oslo University, Mid Sweden University, the Danish Meteorological Institute, University of Liège, University of Fairbanks, and University of Lausanne. The position includes 20% teaching at the Department of Earth Sciences, Uppsala University, in earth science (physical geography/hydrology) at undergraduate and advanced levels. Qualifications A doctoral degree in glaciology, earth science, computer science, physics, or similar, or a foreign degree deemed equivalent to a Swedish doctoral degree in the mentioned subject. The degree must be completed by the time the employment decision is made. Preference should be given to candidates who completed their degree no more than three years ago. In calculating the three-year period, the final application deadline is the starting point. If there are special reasons, such a degree may have been completed earlier. Special reasons include leave due to illness, parental leave, positions of trust within labor organizations, etc. Previous experience with numerical modeling and analysis of the cryosphere, preferably glaciers, is a requirement. The candidate must be able to communicate in spoken and written English at an advanced level, work independently, and work in an international team of researchers with different disciplinary backgrounds. Desirable/Meriting Qualifications Programming skills in Python or similar are valued. Additionally, experience with machine learning and spatial analysis software (e.g., ArcGIS) is meriting. About the Employment The employment is time-limited for 2 years in accordance with central collective agreements. The position is full-time. Start date: November 15, 2026, or by agreement. Work location: Uppsala For information about the position, contact: Ward van Pelt, [email protected] Welcome to apply by September 4, 2026, UFV-PA 2026/2399. Uppsala University is a broad research university with strong international standing. 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 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country's most exciting workplaces. Learn more about our benefits and what it's like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The employment may be subject to security clearance. Security clearance is a prerequisite for employment; applicants must be approved. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Labor representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
PhD Candidate in Core Optimization with Machine Learning
Do you want to work with machine learning, optimization, and reactor physics, supported by competent and friendly colleagues in an international environment? Do you want to contribute to the development of advanced computational methods for future nuclear power systems? Do you want an employer that invests in sustainable employee relations and offers secure, favorable working conditions? We welcome your application for a PhD position at Uppsala University. As a PhD candidate, you will be part of a research group working on reactor physics, fuel cycle analysis, and computational methods for core and fuel optimization. The group combines physics-based computational models with modern optimization and data analysis methods. The work environment is international and multidisciplinary, with close links between fundamental method development and technically relevant applications. The project is a continuation of an ongoing PhD project on core and fuel optimization for small modular reactors (SMR) within the competence center ANItA (Academic-industrial Nuclear technology Initiative to Achieve a sustainable energy future). The competence center brings together academia and industry to strengthen Swedish nuclear technology expertise and contribute to a sustainable energy transition. The previous PhD project has developed methods for optimizing equilibrium cycles, where the goal is to find recurring fuel management strategies that provide good fuel economy while meeting reactor physics safety margins. Special focus has been on combining advanced optimization algorithms with machine learning-based surrogate models, including graph-based representations of core loading patterns. You will further develop this research direction. The project may include cycle-to-cycle optimization, development of new machine learning models, improved optimization strategies, uncertainty quantification, more efficient handling of physical constraints, and expanded analysis of fuel design, loading patterns, and safety-related quantities. The goal is to develop methods that enable faster and more reliable exploration of large design spaces in core and fuel optimization. Duties The duties consist mainly of doctoral studies, where you conduct research within the project and complete courses as part of your doctoral education. The work involves developing, implementing, and evaluating computational methods for core and fuel optimization using machine learning and optimization algorithms. Your duties include: - Develop and apply machine learning-based surrogate models for reactor physics calculations, - Develop and evaluate optimization methods for fuel loading patterns and fuel composition, - Analyze safety-related parameters such as reactivity, power distributions, fuel utilization, and margins to technical limits, - Work with large datasets from reactor physics simulations, - Implement and document computational tools, for example in Python, - Compile and publish research results in scientific articles, - Present results at national and international conferences, - Participate in research group seminars, project meetings, and other scientific activities. Teaching and other institutional service may be included with a maximum of 20 percent of full-time work. Qualifications To be eligible for doctoral studies, you must have: - Completed an advanced degree in engineering physics, nuclear engineering, energy engineering, machine learning, computer science, applied mathematics, or another field relevant to the project, or - Completed at least 240 credits, of which at least 60 credits at advanced level including an independent thesis of at least 15 credits, or - Acquired equivalent knowledge in another way. For the position, the following is also required: - Strong knowledge in physics, numerical methods, and/or machine learning, - Good programming skills, for example in Python, Julia, C++, or equivalent, - Ability to work independently and in a structured manner, - Good ability to collaborate, - Good ability to express yourself orally and in writing in English. Great weight will be placed on personal qualities such as analytical ability, initiative, accuracy, and motivation to conduct research within a multidisciplinary field. Desirable/Merits It is meritorious to have experience in one or more of the following areas: - Reactor physics, nuclear engineering, or neutron transport, - Core optimization, fuel cycle analysis, or fuel management, - Machine learning, especially neural networks, graph neural networks, or surrogate modeling, - Optimization algorithms, such as evolutionary algorithms, stochastic optimization, or multi-objective optimization, - Uncertainty quantification or statistical modeling, - Work with scientific computing software and high-performance computing, - Experience with version control and reproducible computing workflows. Regulations for PhD candidates are found in the Higher Education Ordinance Chapter 5 §§ 1-7 and in the university's rules and guidelines. About the Application Please attach transcripts, a copy of your thesis, and any other documents you wish to submit. About the Position The position is time-limited, according to the Higher Education Ordinance Chapter 5 § 7. Full-time. Start date: January 1, 2027, or by agreement. Location: Uppsala. Information about the position is provided by: Andreas Solders, 018-471 26 31, [email protected] In this recruitment, we have replaced the personal letter with questions that you answer as part of your application. Your answers will be used as part of the selection process. Welcome to submit your application no later than September 30, 2026, UFV-PA 2026/2129 Note that this is an abbreviated version of the announcement. To see the full announcement, please click on "Apply here" or visit Uppsala University's job announcement website.
Assistant Professor in Media and Communication Studies
Uppsala University hereby announces a position as Assistant Professor in Media and Communication Studies at the Department of Informatics and Media and the Institute for Russian and Eurasian Studies The Department of Informatics and Media (IM) brings together researchers in three subject areas: media and communication studies, information systems, and human-computer interaction. The research profile in media and communication studies is broad and encompasses questions related to digitalization, discourse studies, the role of media in society, and organizational communication. The Department also has extensive teaching responsibilities in degree programs and individual courses within the Faculty of Social Sciences. The Institute for Russian and Eurasian Studies (IRES) is part of the Faculty of Social Sciences at Uppsala University. IRES has a widely recognized, integrated multidisciplinary long-term research program with deep focus on recent developments in Russia and the broader post-Soviet sphere. We also analyze more specific themes such as security and insecurity, decolonization, illiberalism, resource conflicts, and the interaction between humans and nature. Employment Period Employment as Assistant Professor can be held for a maximum of four years with the possibility of promotion to Associate Professor. An employee hired as Assistant Professor shall, after written application, be promoted to Associate Professor if, following expert review, they are deemed to meet the qualification requirements established by the respective subject or faculty board and as stated in the information about the vacant position. Additional criteria for promotion to Associate Professor are found in Uppsala University's Employment Regulations and the Faculty of Social Sciences' supplementary guidelines (section 2f). Duties Research and teaching in Media and Communication Studies with focus on Russia and Eurasia. Teaching includes course responsibility, supervision, and course administration. The position may also include administrative tasks. The teaching component amounts to a maximum of 50 percent. Qualifications Eligible for employment as Assistant Professor is a person who holds a doctoral degree or has attained equivalent scientific competence and meets the requirements for teaching aptitude. Applicants who hold a doctoral degree or have attained equivalent competence no more than five years before the application deadline are particularly encouraged to apply. Furthermore, the applicant must meet the requirements prescribed in Uppsala University's Employment Regulations (§ 39) and the Faculty of Social Sciences' guidelines (section 2 e). Teaching aptitude, scientific competence, and professional skills must be relevant to the subject matter of the position and the duties included in the employment. According to Uppsala University's Employment Regulations, a general qualification requirement for teachers is that the applicant must have the ability to collaborate and otherwise meet the suitability requirements necessary to perform the position well. For eligibility, documented ability to teach in Swedish and English is required. An applicant who at the start of employment only masters one of these languages must, within two years, be able to teach in the other language as well. It is also a requirement that the applicant can use as a working language one of the languages of the post-Soviet region. Please note that this is a condensed version of the announcement. To view the complete announcement, please click "Apply here" or visit Uppsala University's website: https://uu.se/jobb/. Application Procedure: Complete application must be submitted via Uppsala University's recruitment system and include: Letter of application List of attachments Curriculum Vitae Statement of scientific merits List of publications Statement of teaching merits Statement of other merits Scientific (maximum 5) and any pedagogical works cited List of reference persons (name, contact information, previous working relationship) Instructions for application format are found in the Faculty of Social Sciences' supplementary guidelines to the University's Employment Regulations (section 8). About the Position: The position is fixed-term, 4 years. Full-time. Start date January 1, 2027, or by agreement. Location: Uppsala Information about the position is provided by: Subject Coordinator for Media and Communication Studies, Peter Jakobsson, e-mail [email protected], Dean Susanna Rabow-Edling, e-mail [email protected] Questions about the recruitment process can be directed to: Faculty Administrator Paula von Essen Karlström, phone 018-471 15 17, e-mail [email protected] Welcome to submit your application no later than August 31, 2026. Uppsala University is a broad-based research university with strong international standing. 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 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country'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/ The position may be subject to security clearance. Security clearance is a requirement for employment, and the applicant must be approved. We decline offers of recruitment and advertising assistance. Applications are received in Uppsala University's recruitment system. Union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
Researcher
Do you want to work with research, supported by competent and friendly colleagues in an international environment? Do you want an employer that invests in sustainable employee relationships and offers secure, favorable working conditions? Welcome to apply for a position as a researcher in the speech-language pathology research group at the Department of Public Health and Caring Sciences (IFV), Uppsala University. IFV is part of the Faculty of Medicine and conducts extensive research through our 11 research groups, including in the subject areas of public health science, nursing science, speech-language pathology, and bioethics. The department also conducts education in the medical program, nursing programs, speech-language pathology program, master's program in public health, and through a number of independent courses. We have a total of approximately 370 employees, including our associated researchers and doctoral students. Read more at: https://www.uu.se/institution/folkhalso-och-vardvetenskap The advertised researcher position is located in the speech-language pathology research group at IFV, where several project groups conduct research in various speech-language pathology areas. Many projects are conducted in interdisciplinary collaboration with other researchers at the university and in cooperation with Uppsala Academic Hospital or other actors in health and medical care. Duties The main tasks are analysis and compilation of data collected in projects concerning linguistic functions, communication, and memory functions in people with cochlear implants. Collaboration with other researchers in the research group and participation in research group meetings is expected. Qualification Requirements We are looking for a licensed speech-language pathologist who has completed a doctoral degree. Good knowledge of speech and language assessment of children, adolescents, and adults is required. Clinical experience in the same area is also a requirement. Experience with research and speech-language pathology work in hearing care is meritorious. The applicant must have very good ability to express themselves well in speech and writing in both Swedish and English. Other important personal qualities are good collaboration and communication skills as well as flexibility. Desirable/Meritorious Otherwise Experience working with the statistical tool R is also meritorious. About the Position The employment is time-limited, 12 months. The position is 50%. Start date September 1, 2026 or by agreement. Location: Uppsala University Information about the position is provided by: Ellika Schalling, 073-469 7217, or email: [email protected] In this recruitment, we have replaced the cover letter with questions that you answer in connection with your application. The answers will be used as part of the selection process. Welcome to submit your application by August 28, 2026, UFV-PA 2026/2440. 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 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country'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/ The employment may be subject to security clearance. Security clearance is a prerequisite for employment that the applicant must be approved. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
PhD Student in Multimodal Machine Learning for Energy Storage Materials
Department of Chemistry - Ångström conducts research and education in chemistry. The department has 270 employees and generates annual revenue of 300 million kronor. The department's six programs conduct highly successful research of international caliber. We have a large number of externally funded research projects, often with international collaboration, and we see continued strong growth within our field. The department provides education within engineering and civil engineering programs as well as master's programs. Project Description The development of tomorrow's energy storage materials relies on a fundamental understanding of how their chemical composition and structure change during operation in applications. No single method can capture the complete picture. Instead, researchers must rely on multiple complementary techniques, each providing an incomplete and indirect view of the same underlying process and which are traditionally interpreted manually and separately. Multimodal machine learning offers a principled alternative: integrating heterogeneous data streams from both experiments and simulations into a unified, physically grounded model. The project focuses on developing such a framework and applying it specifically to electrode/electrolyte interfaces in batteries, where surface-sensitive X-ray scattering techniques (X-ray reflectometry, GISAXS, and GIWAXS) and electrochemical quartz crystal microbalance with dissipation monitoring (EQCM-D) are combined in operando experiments. The core of the methodology is data assimilation, where the interface's underlying properties (mass, volume, density, porosity, and morphology) are treated as a latent state evolving in time, with each measurement technique contributing a noisy and incomplete observation through its own forward model. The work encompasses sequential Bayesian inference, deep state-space models, and uncertainty-aware representations trained on both experimental data and simulations, such as phase-field simulations of metal nucleation and growth coupled to lattice-Boltzmann modeling of the quartz crystal's acoustic response. Machine learning-accelerated surrogate models make these simulations sufficiently fast to function as transition and observation operators in the inference engine. Finally, the learned latent space is analyzed to extract physical meaning, and the models' generative capability is leveraged to translate data between techniques. The goal is an interpretable and uncertainty-quantified model of how interfaces form and grow, deepening understanding of metal deposition and surface passivation in Li-, Zn-, and Cu-based systems, and transferable to other materials and analytical techniques. The PhD student's task is to develop and implement this framework in close collaboration between chemistry and computer science at Uppsala University and together with our German partners. This involves building and validating inference and simulation pipelines, actively participating in planning and conducting operando experiments – including measurement campaigns at the synchrotron facility PETRA III (DESY, Hamburg) – and developing deep expertise in probabilistic machine learning, data assimilation, scientific computing, and analysis of electrochemical interfaces. The PhD student's focus is research. Some teaching responsibility may be assigned but will not exceed 20% of total working time. The PhD student will also take graduate courses closely connected to the project's research themes. We are looking for a highly motivated person who will contribute to high-quality scientific work in a multidisciplinary research environment, aiming to publish results in leading scientific journals and present them at both national and international conferences. Qualifications Required Applicants must have: - completed a degree at an advanced level, or - completed course requirements of at least 240 credits, of which at least 60 credits at advanced level (of which 15 credits constitute independent work), with content relevant to doctoral studies, or - in some other way, within or outside the country, acquired substantially equivalent knowledge - very good knowledge of English, both spoken and written - a degree at an advanced level or equivalent as described above in chemistry, materials science, computer science, applied mathematics, engineering physics, or a related field - the ability to express yourself clearly, document your work, and contribute to the community in a research environment Great weight will also be placed on personal qualities such as good collaboration skills, drive, and independence, as well as how the applicant, through their experience and competence, is assessed to have the ability to manage doctoral studies. Desirable/Meriting Additional Qualifications Practical experience with probabilistic machine learning, Bayesian inference, generative models, data assimilation, or scientific computing is meriting, as are strong programming skills (e.g., Python, PyTorch, or JAX). Experience with electrochemistry, battery research, X-ray scattering techniques, or analysis of experimental time series data is also advantageous. About the Position The employment is temporary according to the Higher Education Ordinance (HF) 5 chapter § 7. Full-time position. Start date October 1, 2026, or by agreement. Work location: Chemistry-Ångström Regulations for PhD students are found in the Higher Education Ordinance 5 chapter §§ 1-7 and in the university's rules and guidelines. Information about the position is provided by: Prof. Erik Berg ([email protected]) Welcome to submit your application by September 11, 2026, UFV-PA 2026/2414. 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. The employment may be subject to security clearance. For security clearance, it is a prerequisite for employment that the applicant is approved. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
Doctoral Student in Computational Image Analysis
Are you interested in developing new methods for image analysis and machine learning for precision medicine and clinical decision support? Do you want to be part of a research team with skilled and inspiring colleagues in an international environment? Are you looking for an employer that offers secure and favorable working conditions? Welcome to apply for a doctoral position at the Department of Information Technology, 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, with over 350 employees, of whom 120 are teachers and 120 are doctoral students. Approximately 5,000 undergraduate students take one or more courses at the department each year. More information about us can be found on the department's website. The project is led by Professor Nataša Sladoje, within the research group MIDA – Methods for Image Data Analysis – at the Department of Information Technology and is conducted together with other researchers at the Centre for Image Analysis who develop computational methods with a particular focus on deep learning and image analysis. The project builds on close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP) at Uppsala University as well as SciLifeLab, the national infrastructure for life science. Project Description Immunotherapy has become a life-saving option for patients with advanced cancer. However, only a minority of patients develop a sustained response. Many researchers are working to better understand the complexity of anti-cancer immunity and develop diagnostic methods that accurately predict treatment benefit and enable personalized cancer treatment planning. Modern AI-based methods are essential to advance this research frontier. This project is an important part of our broader initiative to develop and apply innovative, interpretable data-driven analysis methods to significantly increase our understanding of how immune cell interactions affect the cancer microenvironment. We will apply these analysis methods to high-information multimodal microscopy data and develop techniques to integrate correlated structural and molecular analysis in three-dimensional tissue space. This integration will enable improved prediction of disease progression and response to specific treatments. Duties The doctoral student will primarily focus on their own research training. Other work at the department, including teaching and administrative duties, may be included within the scope of employment (max 20%). Qualification Requirements Basic eligibility is held by those who: have completed a degree at advanced level in computer science, image analysis and machine learning, technical physics, data analysis, applied mathematics, molecular biotechnology, or a related field, or have completed at least 240 higher education credits, of which at least 60 at advanced level including an independent work of at least 15 higher education credits, or have acquired equivalent knowledge in some other way within or outside the country. The university may grant an exception from the requirement of basic eligibility for an individual applicant if there are special reasons. (7 ch. 39 § HF). For specific eligibility requirements, see the curriculum for the subject. Specific requirements are met by having completed courses in areas relevant to image analysis and machine learning, covering at least 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming, mathematical modeling, and statistics or equivalent. We seek candidates with: A strong academic background and solid understanding of computation and analysis; Good knowledge of Python programming and deep learning frameworks such as PyTorch and TensorFlow; Excellent communication skills in both spoken and written English; Creativity, thoroughness, and a structured approach to problem-solving; Good collaboration skills, drive, and independence. Desirable/Meriting Additional Qualifications Meriting qualifications include: Interest in biomedical research and experience applying image analysis in medicine; Experience with version control using Git, typesetting with LaTeX, and using Linux computers; Experience with convolutional and transformer-based neural networks for image analysis; Experience with graph-based methods and graph neural networks; Experience with explainable and interpretable AI (XAI). Provisioning for doctoral students is found in the Higher Education Ordinance 5 ch §§ 1-7 and in the university's rules and guidelines. Application The application must contain: Curriculum vitae (CV); Copy of degree/diploma and transcript of course record with grades; Thesis work (or a draft of this, and/or other self-produced technical or scientific text), scientific publications, and other relevant documents in electronic format; Contact information (name, email addresses, and phone numbers) of at least two references, with indication of the context, duration, and nature of the relationship to the candidate. Reference letters may be enclosed as supporting documents but are not required at the time of application. A personal letter (maximum one page) that includes: Your motivation for applying for this position; A short bullet list of three main academic or scientific achievements; Earliest possible start date (with reasons if applicable). About the Position The position is temporary, according to HF 5 ch § 7. The scope is full-time. Start date: 1 October 2026 or by agreement. Work location: Uppsala Information about the position is provided by: Prof. Nataša Sladoje (email: [email protected]). Welcome to submit your application by 20 August 2026, UFV-PA 2026/2366.
Research Assistant
Research Assistant Would you like to work with the application of artificial intelligence (AI) for hydrological modeling and prediction, supported by competent and friendly colleagues in an international environment? Would you like an employer that invests in sustainable employee engagement and offers secure, favorable working conditions? Welcome to apply for a position as a Research Assistant at Uppsala University. The Department of Earth Sciences is Sweden's most comprehensive academic environment for research and education in Earth sciences. Here you will find broad expertise that contributes to solutions for important societal issues. Earth is a dynamic planet that is constantly changing. To understand how our planet works, our researchers seek answers in the field, through laboratory experiments, and advanced models. Our research and education cover a wide range of areas: rocks and minerals, weather and climate, the evolution of life, natural disasters, wind power and energy, environmental and water engineering, and sustainable development. Our research combines natural science and engineering with social science and is often interdisciplinary. At the department, more than 300 people from over 30 countries work together, both in Uppsala and at Campus Gotland. Our six research divisions: • Geophysics • Air, Water and Landscape Science • Mineralogy, Petrology and Tectonics • Natural Resources and Sustainable Development • Paleobiology • Wind Energy For more information see: https://www.uu.se/institution/geovetenskaper The Research Assistant position is part of a seed project at the intersection of AI and Earth sciences supported by Uppsala University's Future Institute (UUniFI). The successful applicant will be employed at the Department of Earth Sciences but will also work extensively with collaborating partners at the Department of Information Technology. Work Tasks Research tasks include application of long short-term memory models, transformer models, and potentially other deep learning tools and techniques to improve and characterize flow predictions in watercourses throughout Sweden. Specific research tasks that can be expected include preprocessing of large datasets for analysis, reading and summarizing relevant scientific literature, writing and manipulating code in Python, managing computationally intensive computational processes, preparing and interpreting visualizations of code output, and quantifying uncertainty associated with predictions. Other important tasks include communication activities, including coordination with team members and preparation of figures and text for journal articles and funding applications. The successful applicant is also expected to participate in UUniFI meetings for the funded project groups. Qualification Requirements Applicants should have a bachelor's or master's degree in engineering, Earth sciences, information technology, or a related discipline. Applicants should demonstrate coding skills in Python, with coursework and/or research experience using long short-term memory models, transformer models, and/or closely related tools. Applicants should also have formal education and/or research in hydrology. Previous research experience, resulting in a poster, publication, or thesis, is required. Additionally, applicants are expected to demonstrate excellent oral and written communication skills in English and strong interpersonal skills that support collaborative activities. Desirable/Meriting Additional Qualifications Additional desirable qualifications include practical knowledge of best practices in reproducible data analysis, experience managing and curating large datasets, and experience with uncertainty analysis. About the Position The employment is fixed-term, 4.5 months. Full-time position at 100%. Start date September 15, 2026, or by agreement. Work location: Uppsala For information about the position, contact: Dr. Laurel Larsen, +46 767027427, [email protected] In this recruitment, we have replaced the cover letter with questions that you answer in connection with your application. Your answers will be used as part of the selection process. Welcome to submit your application by August 28, 2026, UFV-PA 2026/2444. Uppsala University is a broad research university with strong international standing. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our greatest asset is all 7,500 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country'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/ The position may be subject to security vetting. A condition of employment is that the applicant is approved in the security vetting process. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Labor representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]