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]
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.
Postdoctoral Researcher in Machine Learning
At the Department of Systems and Control, we develop both theory and concrete tools for designing 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 areas such as medicine, energy systems, biomedical systems, neuroscience, and security. The department maintains a broad network of long-standing international collaborators worldwide, including University of Cambridge, University of Oxford, Imperial College London, University of Sydney, University of Newcastle, and Aalto University. Responsibilities This project focuses on developing, analyzing, and applying new methods in reinforcement learning and model predictive control (MPC), both stochastic and deterministic formulations. The emphasis will be on developing methods for robust reinforcement learning and/or MPC formulations. We are particularly interested in environments where the cost or reward function is non-ergodic. In these situations, expected costs/rewards do not capture the behavior of individual rollouts, requiring new designs. We will develop and analyze generally applicable algorithms and models together with our collaborators. The postdoctoral researcher will be jointly supervised by Assistant Professor Dominik Baumann (Aalto University) and, regarding MPC aspects, we will collaborate with Assistant Professor Johannes Köhler at Imperial College London. Technical components may include reinforcement learning, state models, MPC, deep learning, and probabilistic modeling in general. The position may include teaching up to 20% depending on availability and interest. You are expected to be able to teach in Swedish or English. Qualification Requirements PhD in machine learning, control engineering, signal processing, or a related field, or a foreign degree deemed equivalent to a PhD in machine learning, control engineering, or signal processing. The degree must be completed by the time the employment decision is made. Ideally, the degree should have been awarded no more than three years ago. When calculating the three-year period, the deadline for applications is the reference point. If there are special circumstances, the degree may have been awarded earlier. Special circumstances include leave due to illness, parental leave, positions of trust within trade union organizations, etc. We seek candidates with: • strong interest in and experience developing new methods in reinforcement learning and/or model predictive control, • ability to communicate technical material effectively in spoken and written English, • good working knowledge of programming (preferably in Python). • personal qualities such as a high level of creativity, accuracy, and/or a structured approach to problem-solving are essential. Publications at leading machine learning conferences and/or leading control engineering journals are a significant plus. Desirable/Meriting Factors Experience with industry collaboration is valuable. As a person, you are creative, thorough, and have a structured approach. In selecting among applicants, we will assess their ability to independently drive their work forward, to collaborate with others, to maintain a professional approach, and to analyze and work with complex problems. Great weight will be placed on personal qualities and personal suitability. Application Requirements Your application should include: A curriculum vitae (CV), A list of publications, A description of your current and previous research (max 1 page) and proposal for future research (max 1 page), Contact information for two references. 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. About the Position The employment is temporary for 2 years in accordance with the central collective agreement. The position is full-time. Start date: October 1, 2026, or by agreement. Work location: Uppsala. Information about the position is provided by: Professor Thomas Schön, 018 - 471 25 94, [email protected] Welcome to submit your application by August 21, 2026, UFV-PA 2026/1965. 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. 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 screening. As a condition for employment in security screening, the applicant must be approved. We decline offers of recruitment and advertising assistance. Applications are received through Uppsala University's recruitment system. Trade union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]
PhD Candidate in Research Project within the U-CARE Research Group
Do you want to work in a successful, multidisciplinary research group supported by competent and friendly colleagues in an international environment? Do you want an employer that invests in sustainable employee engagement and offers secure, favorable working conditions? Welcome to apply for a position as a PhD candidate at Uppsala University. The position is placed in the research group CIRCLE - Intervention Research in Health and Care. CIRCLE hosts the multidisciplinary, strategic research program U-CARE, http://www.ucare.uu.se. The overarching objectives of U-CARE are to: increase psychological well-being in those affected by illness by developing and implementing evidence-based, individually tailored and cost-effective behavioral interventions for healthcare; and improve the efficiency, benefit and value of clinical trials. Citizen engagement is a central part of all research within U-CARE. All research within U-CARE is conducted within national and international collaborations and our expertise in research methodology has been recognized in recent evaluations of research at Uppsala University. Job Responsibilities The person we are seeking should compile available literature on the representativeness of study populations in studies with alternative designs. The person should also, through retrospective and prospective studies, compare the representativeness of study populations in studies with alternative versus randomized controlled designs. The person should furthermore investigate the acceptance, feasibility and significance of alternative designs according to various groups such as patients, healthcare personnel and researchers. The project is conducted together with patients and healthcare personnel. Job responsibilities also include disseminating research results through scientific publications and other channels and actively participating in the research group's seminars and meetings. Other tasks related to teaching and administration at the Department of Women's and Children's Health may be added (max. 20%). The employment will be extended accordingly. Qualifications The person we are seeking should: Have completed a degree at an advanced level in public health, behavioral science, pharmaceutical sciences, statistics or a closely related discipline. Be eligible for doctoral-level education and have completed at least 240 higher education credits, of which at least 60 credits at an advanced level including an independent project of at least 15 credits, or in some other way have acquired substantially equivalent knowledge. Speak and write Swedish fluently. Have an excellent ability to communicate in English, both orally and in writing. Have a very strong ability to take initiative and problem-solve, deliver according to agreed goals and timelines, prioritize among tasks and be thorough. Have a very strong ability to professionally work independently and in a group in a collaborative environment and communicate with colleagues from different disciplines and professions. Have a strong interest in multidisciplinary research and motivation to be an active member of a successful research group. Have good knowledge of and previous experience working with qualitative and quantitative research methods as well as various software such as NVivo, R, SPSS, Stata, and MS Office. Desirable/Meriting Experience The following is meriting: Experience in research including data collection and analysis and writing applications for research funding to funders and applications to the Research Ethics Committee. Experience writing scientific publications. Interest in continuously contributing to the development of the research group's activities. Interest in continuously contributing to the research group's good working environment. Interest in working with patient and citizen engagement. Knowledge of and experience working with the research methods used in the project, for example quantitative methods (including statistical analyses), qualitative research methods and patient and citizen engagement. Knowledge of and experience working with clinical research. Application The application should be written in Swedish and contain the following: Curriculum Vitae Link to thesis. Copies of degree certificates. Complete publication list including URL/DOI to each of your publications. Contact information for at least two reference persons, of whom at least one should be a current or former supervisor. 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. Please note that this is a shortened version of the announcement. To see the full announcement, please click "Apply here" or visit Uppsala University's website: https://uu.se/jobb/ About the Position The employment is fixed-term, according to HF 5 chap § 7. The position is full-time. Start date October 1, 2026 or by agreement. Location: Uppsala. Information about the position is provided by main supervisor, university lecturer, docent Joanne Woodford, [email protected] and research group leader, professor Louise von Essen [email protected]. Welcome to submit your application by August 14, 2026 UFV-PA 2026/1638. 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. 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 vetting. As a prerequisite for employment in security vetting, the applicant 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]
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]
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]
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 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.
Postdoctoral Researcher in Machine Learning
Do you want to work with modern machine learning methods supported by competent colleagues in a leading international environment? Do you want an employer that invests in sustainable employee relations and offers secure, favorable working conditions? Welcome to apply for a postdoctoral position at Uppsala University. Uppsala University has a long tradition of successful research – among its alumni are 16 Nobel Prize laureates, most recently Svante Pääbo. The University is unique in combining IT with broader research, from life sciences to humanities. The Department of Information Technology holds a leading position in both research and education at all levels. Today it is Uppsala University's third largest department with just over 350 employees, of which 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 of Information Technology's website. At the Division of Systems and Control, we develop both theory and concrete tools for designing 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 various application areas such as medicine, energy systems, biomedical systems, neuroscience, and security. The division has an extensive network of long-standing international collaborators worldwide, for example at University of Cambridge, University of Oxford, Imperial College London, University of Sydney, University of Newcastle, and Aalto University. Work Duties Research on fundamental models and methods in machine learning and their applications in medicine. We will continue our work on extracting knowledge from large-scale ECG datasets and possibly related data. The aim is to investigate the use of these models for decision support, and the position may also involve work with decision algorithms. The postdoctoral researcher will collaborate with colleagues at the Faculty of Medicine here in Uppsala and likely also with our collaborators in Brazil. Key technical terms for the position include: probabilistic models, deep learning, decision algorithms, Bayesian inference, and precision medicine. The position may include teaching up to 20% depending on availability and interest. Qualification Requirements PhD in machine learning, control theory, signal processing, computational statistics, or a related relevant field, or a foreign degree deemed equivalent to a Swedish PhD in machine learning, control theory, signal processing, or computational statistics. The degree must be completed by the time the employment decision is made. Primarily, candidates who have completed their degree within the last three years should apply. In calculating the three-year timeframe, the start date is the last application deadline. If there are special circumstances, such a degree may have been completed earlier. Special circumstances include leave due to illness, parental leave, positions of trust within labor organizations, etc. We are looking for candidates with: a strong interest in and experience developing new methods in machine learning, ability to apply deep learning to large datasets, ability to communicate technical material effectively in spoken and written form (English), good practical programming skills (preferably in Python). personal qualities such as a high level of creativity, attention to detail, and/or a structured approach to problem-solving are essential. Publications at leading machine learning conferences are a significant plus. You are expected to be able to teach in Swedish or English. Additional Desired/Meritorious Qualifications Experience in interdisciplinary research is valuable. As a person, you are creative, detail-oriented, and have a structured approach. In the selection process, we will assess your ability to independently drive your work forward, to collaborate with others, to maintain a professional attitude, and to analyze and work with complex problems. Great emphasis will be placed on personal qualities and personal suitability. The application should contain: A curriculum vitae (CV), A publication list, A description of your current and previous research (max 1 page) and proposal for future research (max 1 page), Contact information for two references. About the Employment The employment is time-limited for 2 years according to central collective agreement. The position is full-time. Start date: October 1, 2026, or by agreement. Location: Uppsala. Information about the employment is provided by: Professor Thomas Schön, 018 - 471 25 94, [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 by August 28, 2026, UFV-PA 2026/2006. 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 in order to make a difference in society. Our most important asset is all 7,500 employees and 53,000 students who, with curiosity and engagement, 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 vetting. Security vetting is a requirement 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]
General Practitioner Wanted for Consulting Assignment
Specialist physician in general medicine wanted for consulting assignment. Morano BemanningsExperten AB is seeking specialist physicians in general medicine interested in consulting assignments where the need for medical expertise is significant. This is perfect for you if you appreciate variety, new work environments, and the opportunity to make an important contribution where your experience is truly needed. The length and scope of assignments can vary and be adapted as much as possible to your availability and preferences. Work typically takes place within primary care and may include clinic work, medical assessments, treatment and follow-up of patients. We're looking for you who Holds Swedish medical license. Is a specialist in general medicine. Is confident and independent in your professional role. Has a professional approach and clear patient focus. Adapts easily to a new workplace. We offer Varying consulting assignments in different locations. Opportunity to influence work periods and geographic area. Personal contact before and during the assignment. Clear information about the assignment before you decide. Competitive terms. Opportunity for compensation for travel and accommodation, by agreement for the specific assignment. About Morano BemanningsExperten AB Morano BemanningsExperten AB works with staffing, consultant hiring and recruitment. We work personally and with quality awareness with the goal of creating a good match between consultant and organization. Expression of Interest Send your CV and a brief presentation to: Email: [email protected] Website: www.moranoexperten.se Please tell us: When you are available. What scope of work you desire. If Uppsala is relevant for you. Which other locations or areas you can work in. If you prefer day, evening or night work. Note: If Uppsala doesn't suit you but you're interested in consulting assignments, please indicate which locations you can work in and when you're available. Selection and contact takes place on an ongoing basis. We welcome your expression of interest!
Licensed Registered Nurse for Contract Assignment in Uppsala County
Licensed Registered Nurse for Contract Assignment in Uppsala County Morano BemanningsExperten AB is seeking licensed registered nurses for contract assignments within Uppsala County. About the Assignment Assignment Duration: 3–6 months Opportunity for extension Scope: full-time or part-time Location: Uppsala County Start: by agreement Work Hours: day, evening, night, and weekend shifts depending on operational needs We are looking for both general registered nurses and specialist nurses. Experience from municipal care, home healthcare, assisted living facilities, hospitals, psychiatry, primary care, or other healthcare settings is a plus. We Are Looking for You If You Are a licensed registered nurse. Have relevant professional experience. Are independent, responsible, and confident in your professional role. Have a professional demeanor and clear patient focus. Speak and write Swedish well. Are interested in contract assignments on a full-time or part-time basis. We Offer A flexible contract assignment matched to your competence and availability. Opportunity to influence scope and working hours. Personal contact and support before and during the assignment. Clear information about the assignment and terms before you commit. Competitive terms based on assignment requirements and scope. Application Send your CV and a brief introduction to [email protected]. Please include: Your current place of residence Professional experience and any specialist qualifications Availability Desired employment rate Which locations within Uppsala County you can work in Your preference for day, evening, night, or weekend shifts Mark your application: Registered Nurse Uppsala Selection and interviews are conducted on an ongoing basis. Candidate information is not presented to a client without the candidate's approval. We look forward to receiving your application!
Licensed Nurse Wanted for Consulting Assignment in Uppsala
Licensed Nurse Wanted for Consulting Assignment in Uppsala Morano BemanningsExperten AB is seeking an experienced and flexible nurse interested in consulting assignments in Uppsala. This role is perfect for you if you appreciate variety, want to develop in new healthcare environments, and at the same time have the opportunity to influence when and where you work. About the Assignments As a consultant through Morano, you will work for one of our partners or clients in healthcare and care services. The assignments are adapted as much as possible to your experience, skills, availability, and desired work period. Working hours may include day, evening, night, and weekend shifts depending on the needs of the organization. We're Looking for You If You Are a licensed nurse. Have at least two years of relevant professional experience. Are confident and independent in your professional role. Have a professional approach and clear patient focus. Have good teamwork abilities. Easily integrate into new work groups. Speak and write Swedish fluently. Experience from, for example, municipal healthcare, home healthcare, SÄBO, primary care, psychiatry, or inpatient care is a plus. What We Offer Varying consulting assignments. Assignments matched to your skills and availability. Opportunity to influence work period and geographic area. Personal contact before and during the assignment. Clear information about assignments, working hours, and terms before you make a decision. Competitive terms. Possibility of compensation for travel and accommodation when working in another location, according to agreement for the specific assignment. About Morano BemanningsExperten AB Morano BemanningsExperten AB works with staffing, consultant hiring, and recruitment. We work personally and with quality focus with the aim of creating a good match between consultant and organization. How to Apply Send your CV and a brief presentation to: Email: [email protected] Website: www.moranoexperten.se Please also tell us: When you are available. What scope of work you wish to have. If Uppsala is relevant for you. What other locations or areas you can work in. If you prefer day, evening, or night work. Note: If Uppsala doesn't suit you but you are interested in consulting assignments, feel free to indicate which locations you can work in and when you are available. Selection and contact take place on an ongoing basis. We look forward to your application!
Licensed Nurse - Fall Position in Uppsala
We are looking for you who are a licensed nurse with several years of professional experience. The assignment runs between weeks 36-48 with the possibility of extension. Submit your application today – we look forward to hearing from you! About Magnifiq Kompetens We are a staffing agency in healthcare and elderly care that prioritizes quality, safety, and compassion. We value our consultants highly and work to ensure you feel seen, supported, and appreciated throughout your journey with us. Magnifiq Kompetens partners with public and private healthcare facilities across the country. Through clear terms, personal contact, and long-term collaborations, we create the conditions for secure assignments and a sustainable work environment. Do you have questions about the assignment, or would you like to know more about Magnifiq Kompetens? Contact us at 090-136 200
Carpenter Uppsala
We are currently seeking several carpenters for assignments in Uppsala. You should be self-driven and have experience with various types of carpentry work including drywall, installing studs, ceilings, floors, and interior work. We prefer that you have at least 6 years of experience or a professional certification. We have long-term partnerships with a large portion of our customers, and the assignments vary in terms of client company size, production type, and project length. These require high standards and a thorough understanding of our work approach, where our employees are the most important resource for ExpanderaMeras already strong and well-established brand. If you have any questions, please contact the office at 08-53034378 or apply directly at [email protected] We look forward to your application and please don't forget to include references.
Pharmacist/Pharmacy Technician with Extemporaneous Preparation Authorization
💊 Consulting Assignment: Manufacturing Pharmacist with Extemporaneous Preparation Authorization Are you a licensed pharmacist with experience in extemporaneous compounding? Are you flexible and willing to work in a different location? Then this might be the right assignment for you. Morano BemanningsExperten AB is seeking a licensed pharmacist or pharmacy technician with extemporaneous preparation authorization for a consulting assignment in pharmaceutical manufacturing for a client in Västernorrland. 📅 Start: Immediate ⏱ Assignment Length: Six months, with good potential for extension 📍 Location: Västernorrland We offer: Accommodation Travel and mileage reimbursement Travel time compensation Competitive terms About the Role As a manufacturing pharmacist, you will work with extemporaneous compounding of pharmaceuticals according to current regulations and quality requirements. You are responsible for ensuring that manufacturing, documentation, and quality control are carried out correctly, safely, and efficiently. Work is conducted in close collaboration with colleagues in production and quality. You contribute to maintaining high patient safety and good product quality. The assignment also includes: Identifying and managing deviations Participating in improvement initiatives Contributing to the development of procedures and working methods This role suits you if you thrive in a structured work environment with high quality standards and want to work practically with pharmaceutical manufacturing. We are looking for someone with: Swedish licensure as a pharmacist or pharmacy technician Extemporaneous preparation authorization Experience with extemporaneous compounding and quality work Good analytical abilities and the ability to identify risks and deviations A structured approach and strong prioritization skills A solution-oriented and responsible mindset Good collaboration skills and an ability to build strong relationships About Morano BemanningsExperten AB Morano BemanningsExperten AB is a consulting and staffing company with several years of experience in pharmacy. Application Does this feel like the right assignment for you? Please send your application today via our website or by email. Selection and interviews are conducted on a rolling basis, and the assignment may be filled before the final application deadline.
Elevator and Escalator Technician at Hissmontörerna i Sverige AB
We are seeking elevator technicians for work with modernization and new installation of elevators. The geographic area is primarily Gävleborg and Dalarna, but work can take place throughout Sweden, so you must be prepared to travel and stay overnight in other locations. The work is carried out both independently and in collaboration with colleagues. You will work with maintenance, new installations, and renovations of elevators as well as technical support and customer contact. To fit the role, you are technically curious, self-driven, and enjoy taking responsibility. You have a natural service mindset and appreciate a role where customer contact is part of the job. You are trained as an electrician and/or have education and experience in mechanics/automation. You must be proficient in Swedish and English, both spoken and written, and have a Swedish category B driver's license.
Physiotherapist for Assignment in Tanum from September 14 to December 31
Te Crea Care was established in 2013 and staffs nurses, physiotherapists, occupational therapists, and social workers. We have agreements with all regions, many municipalities, and private healthcare providers. This means we can offer you many different types of assignments throughout the country. Te Crea Care has continuously worked intensively with procurement to ensure that as a consultant you have many assignments to choose from on really good terms. We work closely with our consultants where we are a team. Requirements or preferences: - Licensed physiotherapist with two years of experience. - Good knowledge of Swedish, both spoken and written. You are flexible and can adapt to different work environments. You are confident in yourself and have the ability to prioritize, delegate, and lead. We are looking for you who value personal responsibility, participation, and who contributes to a positive work environment. You are attentive and treat people with respect and care. We are with you every step of the way from the start of your assignment, continuously during the assignment, and when it's time to look at what comes next. We help you find the best assignments, book travel and accommodation if needed, serve as a sounding board during the assignment, and stay one step ahead for your next assignment. We offer you: Market-competitive salary A dedicated consultant manager Comprehensive insurance Flexible pension Wellness allowance Training Referral bonus Consultant meetings You are fully insured during your assignment with sick leave insurance and serious terms. We use continuous selection in this recruitment. You are warmly welcome to apply today. If you are interested, contact us at 28 96 or visit our website at www.tecreacare.com
Hairdresser
We are looking for a hairdresser on a part-time or up to 70% basis Speaks Swedish or English Be skilled at your job
Social Worker Consultant Position
Social workers needed for consulting assignments throughout Sweden Are you a social worker considering working as a consultant, or already doing so and interested in a new and exciting assignment? We are now seeking engaged social workers for both short-term and long-term consulting assignments with our clients throughout Sweden. We are looking for you with experience in one or more of the following areas: Children and Youth (BoU) Financial Assistance LSS Elderly Care (ÄO) Adult Services We are looking for you who: Hold a social work degree. Have several years of experience in one of the above service areas. Enjoy working independently and taking responsibility. Are flexible, solution-oriented, and maintain a professional demeanor. We offer Competitive compensation. Occupational pension. A dedicated contact person available for support throughout the entire assignment. Housing and travel allowance for assignments in other locations. The ability to choose assignments based on your preferences and availability. Consulting assignments throughout Sweden – in both major cities and smaller municipalities. Whether you are seeking a new assignment in the near term or want to plan ahead for the coming months, you are warmly welcome to reach out. We are happy to tell you more about the opportunities available and help you find an assignment that suits you perfectly.
Personal Assistants for a Young Boy with NPF Diagnoses in Uppsala
We are looking for you to work as a personal assistant for a young man in central Uppsala. You should be a calm, stable, and trustworthy person who approaches the user with a low-key demeanor. Experience working with autism and ADHD is highly valued. Work Shifts Assistance is provided during all waking hours excluding school time. We are seeking staff for day and evening shifts. Job Duties To provide support in the user's daily life at home, during activities, and in various everyday situations. The work is very active and includes activities such as swimming and play. It is important that you enjoy being physically active. You will help create structure and security in daily life, participate in activities, and contribute to a positive and meaningful existence. Your role is to support and guide the user in their development and daily routines. QUALIFICATIONS • You are a woman aged 20-50 years (according to the user's preference). • Speak and write Swedish very well • Are confident, responsible, and professional • Are attentive, curious, proactive, and engaged • Are comfortable in a family environment • Are active, positive, and take initiative easily