
University of Oslo · Oslo
About the position A three-year position as Postdoctoral Research Fellow in machine learning and artificial intelligence in epidemiology is available at the ...
A three-year position as Postdoctoral Research Fellow in machine learning and artificial intelligence in epidemiology is available at the Department of Public Health and Interdisciplinary Health Science, Institute of Health and Society, Faculty of Medicine, University of Oslo.
The position is linked to the project LINDA-FAMILIA – Implementation of an Integrated Digital Health System for Infectious Diseases in Maternal and Child Health in East Africa, a Horizon Europe/Global Health EDCTP3 project.
The postdoctoral fellow will contribute to a work package on clinical research co-led by the University of Oslo and the Uganda National Institute of Public Health.
Up to 10% of the position will be devoted to career-promoting work, primarily teaching and supervision in machine learning and artificial intelligence for master students in epidemiology.
About the project:
LINDA-FAMILIA will do research within digital eRegistries for reproductive, maternal, newborn and child health services in four regions in East Africa: Addis Ababa Region, Ethiopia; Eastern Province, Rwanda; Kilimanjaro Region, Tanzania; and Lango sub-Region, Uganda.
The eRegistries are deployed to replace paper-based health information systems and support clinical care, disease surveillance and research through harmonized longitudinal individual-level data across the four countries. The systems include clinical decision support, referral coordination, targeted client communication, data management and interoperability.
The project will demonstrate the scientific value of these routinely collected real-world eRegistry data for multi-country clinical and epidemiological research on poverty-related infectious diseases in maternal, perinatal, neonatal and child health.
The postdoctoral fellow will work at the interface of epidemiology, causal inference, prediction modelling, responsible AI, digital health and global maternal and child health.
The work will include development and application of machine learning and AI methods to large-scale, longitudinal, routinely collected eRegistry data. The successful candidate will collaborate with researchers, PhD candidates, postdoctoral fellows, public health institutions and Ministries of Health in Ethiopia, Rwanda, Tanzania and Uganda, as well as partners in Europe.
Some international travel for project meetings, workshops and collaboration with country teams should be expected.
A career plan shall be developed for the Postdoctoral Fellow, specifying the competencies the Postdoctoral Fellow should acquire. UiO is responsible for following up on the career plan and ensuring that the Postdoctoral Fellow has access to career guidance throughout the postdoctoral term.
Up to 10% of the position will be devoted to career-promoting work, primarily teaching and supervision in machine learning and artificial intelligence for master students in epidemiology.
The duration of appointment is 3 years.
Desired qualifications:
Experience with one or more of the following will be considered an advantage:
Personal suitability will be emphasized.
UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no.
We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues—could you be the next one?
We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures.
If you have an immigrant background, a disability, or CV gaps, we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian).
The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports.
More information about gender equality initiatives at UiO can be found here.
We hope you will apply for the position with us.
We offer
Read more about the benefits of working in the public sector at Employer Portal.
Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for the position".
When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language.
The best qualified candidates will invited for interviews.
Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we cannot, you will hear from us.
Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian) and Guidelines concerning appointment to recruitment positions at UiO.
The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.
About the position We invite applications for position as Postdoctoral Research Fellow in statistics and data science available at Department of Mathematics. Preferred starting date as soon as possible. The fellowship period is three years. No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. The place of work is Department of mathematics at Blindern Campus, Oslo. The position is associated with the newly established Norwegian Maritime AI Centre (MAI), a national initiative for research, innovation, and education in artificial intelligence for the maritime sector. Here you will work together with students, PhD candidates and researchers, as well as world leading industry partners. The candidate will be affiliated with the Statistics and Data Science Section. The section is active in many areas of applied and theoretical statistics and data science, and is heavily involved in research at the crossing of statistics and machine learning. The focus of this postdoctoral fellowship is to conduct cutting-edge research on AI-based forecasting and analytics for shipbroking and maritime decision support. The aim is to develop and analyze advanced models that integrate heterogeneous maritime data sources - such as AIS, metocean, emissions, port, cargo, and business data - to improve predictions of costs, freight rates, delays, emissions, and port logistics. While strongly rooted in real-world industrial use cases, the position has a clear academic orientation to develop advanced models for data rich environments. The successful candidate is expected to contribute to the methodological foundations of maritime AI, publish in leading international journals and conferences, and collaborate closely with MAI’s academic and industrial partners to advance safe, transparent, and trustworthy AI in the maritime sector. The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. In addition to the activities in MAI, the project will benefit from a large machine learning research environment in the Norwegian Center for Knowledge‑driven Machine Learning (Integreat) hosted by the Section for Statistics and Data Science at the Department of Mathematics. Qualifications The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials. Required qualifications: • Applicants must hold a degree equivalent to a Norwegian doctoral degree in statistics, applied mathematics, machine learning, computer science, operations research or a similar field. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defense are eligible for appointment. • The applicant is required to document that the degree corresponds to the profile of the post. • Documented knowledge of statistical theory and methods and core machine learning methods. • Documented Python programming skills. • Excellent skills in written and oral English. • The candidate's research proposal must be closely connected to the call and the research of MAI. • Personal suitability and motivation for the position. Desired qualifications (advantageous, but not necessary): • PhD thesis or later research relevant for the position. • Experience with interdisciplinary research, bridging the gap between academic methodological development and industrial applications. • Relevant experience with data from the maritime sector. The University of Oslo is subject to the Norwegian Security Act, which sets requirements for the handling of protected information, in addition to other relevant legislation on sensitive information. It is therefore a requirement for employment that the candidate is personally suitable from a security perspective. Please note that prospective candidates may be asked questions to determine this. Background checks may be performed. It is a requirement for this position that the candidate is eligible to receive a national security clearance at level K. What are we looking for in you? Personal skills: • Ability to work both independently and as part of a team • Ability to work precisely and in a structured manner, and to adapt quickly to new tasks • Good communication and collaboration skills • Positive attitude and the ability to handle hectic periods • Solution oriented Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal skills. We can offer you • A friendly and stimulating work environment • Good welfare schemes • Opportunity of up to 1.5 hours a week of exercise during working hours. • A workplace with good development and career opportunities • Career development programmes • Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes • Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities • Salary in position as Postdoctoral Fellow, position code 1352 in salary range NOK 595 000 - 690 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund We need different perspectives in our work UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no. We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues, could you be the next one? We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures. If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here. We hope you will apply for the position with us. How to apply The application must include: • Cover letter - statement of motivation and research interests • Curriculum Vitae (CV) summarizing education, positions, pedagogical experience, administrative experience, a complete list of publications and other qualifying activity • One-page research proposal relevant to the position stating research questions and methodological approaches • Copies of educational certificates, academic transcript of records • Documentation of English proficiency if applicable • A complete list of publications and up to 3 academic works (pdf files attached to the application or web links to open-access of full version of published papers) that the applicant wishes to be considered by the evaluation committee • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number) Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job". When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language. General information The best qualified candidates will invited for interviews. Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo. If an applicant has applied for and been granted funding for a fulltime research stay abroad while being employed as a Postdoctoral Research Fellow, the employment will be prolonged with the equivalent time as the research stay, but for no longer than of twelve months ( thus extending the employment to a maximum of four years) No one can be appointed twice as a Postdoctoral fellow financed with funds from The Research Council of Norway (NFR). Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can't, you will hear from us. The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o.
About the position A three-year position as Postdoctoral Research Fellow inQuantum Machine Learning for Multimode Mechanics (QM3L / QuantERA 2025) is available at the Department of Physics. Supervisors are Prof. Francesco Massel and Prof. Morten Hjorth-Jensen. Starting date no later than January 1, 2027. No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo. Project description and work tasks The postdoctoral position is part of the QuantERA project ‘QM3L - Quantum protocols for Multimode Mechanics advanced by Machine Learning’, a European consortium combining theory, algorithms, and experiments on multimode mechanical quantum platforms (circuit quantum acoustodynamics with transmon–HBAR devices; HBAR arrays; microwave optomechanics). The postdoc will work at UiO with Massel and Hjorth-Jensen, focusing on theoretical and algorithmic developments that enable machine-learning-assisted discovery, control, and certification of complex multimode quantum states. The work will interface closely with experimental partners (ETH Zürich, Aalto University) and theory partners (TU Darmstadt, Palacký University). Main work tasks may include (depending on profile and project needs): • Develop ML-assisted Hamiltonian discovery/engineering methods for multimode bosonic and hybrid quantum systems (including open-system and non-Hermitian effects). • Design noise-resilient control and optimization strategies, including reinforcement learning (RL) and optimal control approaches for state preparation and measurement protocol design under hardware constraints. • Develop open-source software and documented benchmarks. • Co-author high-quality publications and contribute to consortium deliverables and reporting; participate in partner visits, workshops, and training activities. The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period. What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials. Required qualifications: • A degree equivalent to a Norwegian doctoral degree in physics, applied mathematics, computer science, or a closely related area. If the degree is not yet formally received, the doctoral dissertation must be submitted for evaluation by the application date. Only applicants with an approved doctoral thesis and public defence are eligible for appointment. • Strong background in at least two of the following: • quantum optics / quantum information / open quantum systems • quantum control / optimal control • machine learning (including deep learning and/or reinforcement learning) • numerical simulation of quantum dynamics • Proven programming skills (e.g., Python/Julia/C++), including experience with scientific computing tools • Ability to communicate research results clearly in written and oral English Desired qualifications: • Experience with reinforcement learning for physical control problems and/or sample-efficient optimization • Familiarity with continuous-variable/bosonic systems, non-Gaussian states, multimode entanglement, or Wigner-function methods • Experience with HPC workflows (cluster computing, GPU computing, reproducible pipelines) • Track record of collaborative work across theory/experiment or interdisciplinary teams All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the national security regulation. What are we looking for in you? Personal skills: • Strong collaboration skills and willingness to work in an international consortium with frequent interactions across sites and disciplines • Ability to mentor students (informally or formally) and contribute to an inclusive working environment Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal skills. We can offer you • Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development • Committed colleagues in a good working environment • Good welfare schemes. • Opportunity of up to 1.5 hours a week of exercise during working hours. • A workplace with good development and career opportunities • Postdoctoral development programmes. • Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes • Salary in position as Postdoctoral Fellow, position code 1352 in salary range NOK 595 000 - 690 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund We need different perspectives in our work UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no. We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues, could you be the next one? We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures. If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. We especially encourage women to apply. More information about gender equality initiatives at UiO can be found here. We hope you will apply for the position with us. How to apply The application must include: • Cover letter (statement of motivation, summarizing scientific work and research interests) • CV (summarizing education, positions, and other qualifying activity) • Copies of educational certificates, academic transcript of records • A complete list of publications and up to 5 academic works that the applicant wishes to be considered by the evaluation committee • Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number) Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job". When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language. General information The best qualified candidates will be invited for interviews. Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo. If an applicant has applied for and been granted funding for a fulltime research stay abroad while being employed as a Postdoctoral Research Fellow, the employment will be prolonged with the equivalent time as the research stay, but for no longer than of twelve months ( thus extending the employment to a maximum of four years) Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can't, you will hear from us. The University of Oslo has an agreement for all employees, aiming to secure rights to research results a.o.
About the position The Department of Political Science is recruiting up to two Postdoctoral Fellows (SKO 1352) with specialization in political data science or comparative politics. We are looking for an excellent candidate with the potential of pursuing a long-term career in academia. The successful applicant will be part of the research project, “Authoritarian Threats to Scientific Knowledge” (AutoKnow), which is funded by the European Research Council. The appointment is a fulltime position for a period of three years. Depending on the candidate’s competence and the teaching needs of the department, the fellowship period can be extended up to four years for other types of qualification work including various teaching tasks and obligations. The primary aim of AutoKnow is to investigate how the production of scientific knowledge is affected by authoritarian regimes and politics. The project will look at how authoritarian rule affects the contents and research trajectories of scientific fields, and which fields are targeted for repression and co-optation by authoritarian rulers and movements. It will use computational text analysis to measure content-dimensions of published science and collect different data on attacks on academic freedom. It will study how authoritarian rule affects scientific progress, topic choice, political bias, idea novelty and other dimensions. AutoKnow will answer questions such as: • Which academic fields and institutions are repressed, and which are supported by authoritarian leaders? • How does authoritarian rule shape the contents and political profile of academic work in different fields? • What is the impact of authoritarian rule on scientific progress? A postdoctoral position is intended to help the successful candidate develop a research profile and competencies that qualify them to apply for a permanent position in academia. To this end, the main focus of this position is to conduct research, including publication and dissemination. In addition, the fellow is expected to actively contribute to the broader research agenda and environment of the AUTOKNOW project, including project workshops. If the postdoctoral researcher does not already possess the teaching/pedagogical qualifications that meet the requirements for an associate professorship (incl. formal training), the department shall facilitate the acquisition of such qualifications during the employment period. Additionally, the position may provide other competencies relevant to the postdoctoral fellow’s future career. To promote a strategic career path, all postdoctoral research fellows are expected to submit a career development plan, specifying career goals and the competencies that the postdoctoral fellow should acquire, no later than one month after commencement of the postdoctoral period. The department is responsible for ensuring that the plan is followed up and that the postdoctoral researcher has access to career guidance throughout the duration of the postdoctoral fellowship. Qualification requirements Formal qualifications • Applicants must hold a degree equivalent to a Norwegian doctoral degree (PhD) in Political Science, or a closely related discipline before taking up the post. • For applicants who have yet to receive their PhD degree, the Doctoral dissertation must have been submitted for evaluation, or completed and scheduled for submission and evaluation, before the application deadline. Other qualifications • Applicants must have a very good to excellent command of English (written and oral). • Applicants are required to possess robust empirical research knowledge within political science and be proficient in conducting quantitative analyses. • Experience with computational text analysis and large language models is an advantage but not a requirement. • Knowledge in comparative studies of autocracy or democracy, authoritarian politics and repression is an advantage but not a requirement. • Experience with using R or comparable programs for working with large language models and machine learning is an advantage but is not required. • Experience with the design and implementation of survey-experiments is an advantage but not a requirement. • Alongside developing their own research ideas, applicants should be capable of turning those ideas into well-structured and coherent scholarly papers. This involves possessing strong writing abilities and the capacity to see a writing project through from the planning stages to completion. The evaluation of applicants is based on documented, academic qualifications. When assessing applicants, we generally look for candidates whose academic record and submitted publication/paper showcase their ability to independently conduct research at a high international level. We place emphasis on recent publications and the potential for future high-quality research, rather than the sheer quantity of publications, as this is a recruitment position. We will consider qualifications relative to the length of the candidate’s academic career (based on the length of the PhD program, the number of years since PhD, and career breaks). Personal suitability, motivation, and compatibility with the rest of the project team are also considered. We need different perspectives in our work UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no. We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues—could you be the next one? We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures. The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds. If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here. We offer • Salary according to “SKO 1352 postdoktor”, NOK 610 000-690 000 per year. • Personal research funds that can be used for e.g. travel and research assistance (currently NOK 45,000 per year). • A stimulating and international research environment with multiple research groups and seminar series. • Involvement in a large research project that provides opportunities to build a network with scholars researching political elites around the world, including an annual workshop on the topic. • A friendly and inclusive workplace allowing for a good work-life balance. • Attractive UiO welfare benefits • Access to Norway’s excellent public services and welfare schemes, including generous parental leave • provisions and affordable and accessible childcare (including the university’s kindergartens) • Norway’s capital with its easy access to beautiful nature and rich cultural life. • Financial and practical support for international staff moving to Norway (international staff may also benefit from tax cuts in their first years). • Individual mentoring and annual career development conversation based on the submitted career plan. • Various courses and workshops for supporting career development (e.g. on dissemination and presentation skills, op-ed writing, research project management, stress-management etc.). • The university’s mentoring programme for female postdocs. How to apply The application with attachments must be submitted in our electronic recruiting system. Please follow the link “apply for this job”. All documents should be in English or a Scandinavian language. Non-Scandinavian applicants are advised to attach an explanation of their university’s grading system. The online application must include the following items, which are to be submitted before the deadline: • A cover letter (max 2 pages), including a statement of motivation • A CV summarizing education, positions, research and pedagogical experience, administrative experience, and other qualifying activities. Career breaks, including parental leave, that are noted in the CV will be taken into consideration when evaluating applicants’ academic production. • A complete list of publications • Copies of educational diplomas and academic transcripts (PhD, MA) • A copy of what you consider to be your best academic work to date (only one). If this is a co-authored paper/publication, you must additionally submit a declaration of co-authorship specifying your individual contribution and signed by your co-author(s). • Your PhD dissertation. • Names and contact details for 2-3 reference persons (name, relationship to candidate, e-mail, and phone number). Reference letters are not needed. • Applicants who have not yet defended their PhD dissertation must include a letter from the university (the PhD director, supervisor or the like) formally confirming that the dissertation has been submitted for evaluation, or is completed and scheduled for submission, before the application deadline. The exact date it was submitted should be noted in the cover letter. The application deadline is September 10, 2026. The screening and evaluation of candidates will begin immediately. The most promising candidates will be invited for interviews. We expect the whole evaluation process, from the application date to an offer being made, to take 6 to 12 weeks, depending on the number of applications. The expected start date is January 2027 or earlier but is subject to negotiation Formal regulations Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we cannot, you will hear from us. Please see the regulations concerning terms and conditions of employment for the posts of postdoctoral research fellow, research fellow, research assistant and resident - University of Oslo (uio.no) (https://www.uio.no/english/about/regulations/personnel/academic/regulations-employment-conditions-postdoc.html) Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian), Guidelines concerning appointment to post doctoral and research posts at UiO and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo. The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.