University of Oslo, Norway invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at University of Oslo, Norway.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: 2-3 Doctoral Research Fellowships at the Faculty of Theology
The appointment is for a period of 3 years, with the possibility of a one-year extension. All Ph.D. Research Fellows who submit their doctoral dissertation for assessment within 3 years after employment will be offered a 12-month Completion Grant. It will involve other career-promoting work consisting of pedagogical training, teaching, supervision, and research. This will depend on the candidate’s qualifications and the needs of the faculty.
Candidates will join and take an active part in and contribute to the work of the faculty’s research group(s) relevant to their field of study. Read more about the doctoral degree here. A research stay abroad for up to six months during the employment period is strongly encouraged.
Permanent residence in Oslo or within commuting distance from Oslo is expected during the appointment. Place of work is the Faculty of Theology at Blindern, Oslo.
Deadline : 23rd August 2026
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Fellowships in Knowledge-Driven Machine Learning in Norway (8 positions)
Interested in pursuing a PhD in machine learning in an interdisciplinary and collaborative environment in Norway?
Integreat – Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo and UiT The Arctic University of Norway invites applications for eight PhD fellowships connected to interdisciplinary projects in knowledge-driven machine learning. Four of the positions are co-funded with TRUST – The Norwegian Centre for Trustworthy AI. Integreat and TRUST provide a broader interdisciplinary research environment, offering all recruited candidates access to complementary expertise, scientific activities, and national research networks. The purpose of the fellowships is research training leading to the successful completion of a PhD degree. Successful applicants will be enrolled in the PhD programme at the University of Oslo or UiT The Arctic University of Norway.
Integreat brings together more than 100 researchers from mathematics, statistics, machine learning, logic, language technology, philosophy, and related fields. As a PhD fellow, you will become part of this interdisciplinary research community and work closely with researchers at different career stages across Integreat’s partner institutions. You will also join an established cohort of early-career researchers and benefit from the centre’s researcher development programme, including scientific seminars, interdisciplinary workshops, mentoring, career development activities, research mobility support, and social events.
The duration of each fellowship is specified in the individual project description. Most positions are three-year appointments. For selected projects, a four-year appointment may be offered, where the additional year is devoted to career-promoting tasks such as teaching, supervision, or other research-related duties outside the PhD project.
Deadline : 9th August 2026
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow: Universal Health Coverage and Democracy in India (HOPE Project)
The PhD candidate will be part of an interdisciplinary and multinational team of researchers with backgrounds in development studies, international studies, political science, and medical anthropology. HOPE is a collaboration between the University of Oslo (UiO), Jawaharlal Nehru University (JNU) in India, University of Pretoria in South Africa, and the University of Malawi. The PhD position will be based at the University of Oslo, but the candidate will collaborate closely with the research team in India. The appointment is a full-time PhD position for a period of three years with no compulsory teaching or administrative duties. The candidate will be expected to complete the 30 ECTS coursework requirement of the Faculty of Social Sciences PhD Programme as part of the doctoral training.
The successful candidate will conduct ethnographic, qualitative or mixed-methods fieldwork in India and develop a PhD project in the second track of the HOPE project, with a focus on ABP’s implementation and access to healthcare, preferably in rural areas of India and/or among Adivasi communities (Scheduled Tribes). We are seeking a candidate with a master’s degree in development studies, political science, area studies, sociology, anthropology or other relevant fields of study. We also welcome candidates with medical or health sciences degrees, if they can demonstrate experience with the use of qualitative social science methods at the master’s level. Previous experience from and knowledge of India is an advantage. Research questions may include: how ABP entitlements are interpreted and operationalised at the district and facility level; how marginalised populations (particularly Adivasi communities) navigate eligibility, enrolment, and care-seeking; and how state capacity, federalism, and electoral politics shape implementation outcomes. Applicants are encouraged to propose their own theoretical framing. The candidate will be supervised by Professor Dan Banik (UiO) with a co-supervisor at JNU or UiO and will conduct fieldwork in India for an extended period during the appointment.
Deadline : 28th August 2026
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow-Continuous Experience Recognition for Distributed Co-creative Immersive Systems
The position is part of MishMash Centre for AI and Creativity, which is a Norwegian AI centre funded by the Research Council of Norway (2025-2030). It comprises more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective of MishMash is to create, explore, and reflect on AI for, through, and in creative practices. MishMash researchers will develop innovative CoCreative AI systems, investigate AI’s impact on creative processes, educational strategies, and address AI’s ethical, cultural, legal, and societal implications in creative domains. See mishmash.no for more information. In addition, this PhD candidate will be able to participate and exploit synergies with the RCN-funded DRIVE project on brain-driven multi-sensory robotic avatars for remote collaborative physical work.
The PhD fellowship position is located at the University of Oslo’s Department of Informatics (IFI) and is hosted by the Network and Distributed Systems Research Group (ND) with co-supervision from IFI’s Machine Learning section and the University of Inland Norway’s research group for User Perception and Engagement in XR Experiences. ND conducts research in networks and distributed systems of all scales, multimedia and AR/VR/XR systems, robotics and machine learning, advancing general and fundamental scientific knowledge driven by specific applications.
Deadline : 1st August 2026
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Computational Nuclear Physics and Reactor Simulations
The Nuclear Physics group at UiO is involved in several research themes within the Norwegian Nuclear Research Centre (NNRC), from fundamental research within nuclear properties and nuclear fission, to more applied research within nuclear simulations and radionuclide production and speciation. This PhD Research Fellow will mostly contribute to nuclear simulations (reactor simulations).
The project will include reactor simulations of future reactor systems with a focus on systems relevant for Norway. The objective is to further develop and validate machine-learning surrogate models derived from high-fidelity multiphysics simulations of reactor transients and quantify how surrogate uncertainties propagate through system safety analysis of nuclear installations, using tools such as open simulations platforms.
This research will be part of a larger international collaboration and be a part of the Norwegian Nuclear Research Centre. The candidate is expected to contribute to and partake in activities organised by the Centre.
Deadline : 15th August 2026
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Cybersecurity with Focus on Identity and Access Management
As digital services permeate nearly every part of daily life, identity and access management are increasingly vital. New approaches such as self-sovereign identities and FIDO2 passkeys present promising possibilities and are being supported by policy and legal initiatives like eIDAS and the EU Digital Identity Wallet. At the same time, these systems may encounter obstacles, including limited user acceptance, privacy concerns, and inherited weaknesses from legacy authentication methods. This research fellowship will investigate contemporary identity and access solutions and develop methods to evaluate their security, usability, and privacy.
The fellowship position is located at the Department of Informatics, and specifically in the Digital Security research group. The Digital Security research group currently has 12 full- and part-time faculty members and several postdoctoral researchers and PhD students. The research group conducts research in various areas of information and cyber security, focusing on fundamental aspects as well as on applications in multi-disciplinary contexts. We work in collaboration with leading national and international research partners from both academia and industry. Current research topics include identity management, cyber threat intelligence, AI applied to cyber security, ethical hacking, and privacy and data protection.
Deadline : 2nd August 2026
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in computer science/AI for energy informatics
The position will be part of AID, the Norwegian Centre on AI for Decisions, an interdisciplinary national AI centre in Norway led by NTNU and SINTEF. AID brings together academic institutions, research organizations, and more than 50 professional organizations. Its primary objective is to advance AI for decision-making through fundamental research and real-world use cases, ensuring that AI-enhanced human decisions and autonomous systems are effective, safe, and trustworthy in sectors critical to society.
The global energy system is undergoing a profound transformation driven by the rapid uptake of distributed renewable energy resources and the envisioned empowerment of prosumers. Thus, the traditional centralized grid is evolving into a highly distributed, data/ computation-intensive, AI-driven ecosystem in which smart meters, microgrids, aggregators, and edge devices actively participate in energy production, storage, consumption, and market interactions. This transition is fundamentally reshaping the structure of energy networks, shifting from centralized control to distributed, prosumer-driven ecosystems where interconnected multi-agents interact strategically in dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently multi-agent, strategic, and resource-constrained. Each agent has its own objective (e.g, cost, profit, comfort, sustainability, etc.) and interacts with other agents for shared resources (e.g., grid capacity, energy prices). In this new paradigm therefore, multiple autonomous agents including households, aggregators, and grid operators-must make real-time, interdependent decisions under shared constraints and competing objectives. Multi-agent learning and optimization show promise in this regard. Yet, the deployment of AI for decision making in critical infrastructure like the energy sector introduces challenges related to safety, fairness, accountability, transparency, and explainability (FATE), as well as compliance with emerging regulatory frameworks such as the EU AI Act and Data Act.
Deadline : 15th August 2026
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Educational Sciences
Applicants are invited for a three to four-year full-time position as a PhD Research Fellow at the Centre for Research on Equality in Education (CREATE), University of Oslo, Norway.
CREATE is an interdisciplinary Centre of Excellence funded by the Research Council of Norway with the objective of generating novel knowledge about how to reduce social inequality. The interdisciplinary center integrates researchers with substantive expertise from sociology, psychology, education, economics, and genetics, and methodological expertise from educational measurement, psychometrics, econometrics, statistics, and biostatistics.
Deadline : 15th August 2026
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Fluid Mechanics
We invite applications for position as PhD Research Fellow in Fluid Mechanics 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 PhD Research Fellowship period at the University of Oslo.
The place of work is Department of Mathematics at Blindern Campus, Oslo. The position is associate with the newly established Norwegian Maritime AI Centre. Here you will work together with other PhD candidates and researchers, as well as world leading industry partners.
The candidate will be affiliated with the Mechanics Section (Section 1). The section engages in theoretical, experimental and numerical fluid mechanics. This includes technology for the green transition, marine hydrodynamics, hydrodynamic waves, and continuum mechanics.
This project focuses on detecting underwater acoustics using AI methodologies. Additionally, CFD simulations combined with physics-informed machine learning will also be examined. Several research and industrial partners are a part of this project. The ideal candidate would combine strong computational skills with domain knowledge in either acoustics or fluid mechanics, plus demonstrated ability to apply AI/ML methods to physical problems.
Deadline : 5th August 2026
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Formal Methods and Knowledge Representation for Engineering Information
This PhD project focuses on developing formal methods and knowledge representation techniques for the modelling and analysis of complex manufacturing and intralogistics systems, such as highly automated factories and warehouses with autonomous components. It addresses a fundamental challenge in industrial digitalization: the lack of formal, machine-interpretable representations that integrate structural, functional, spatial, and temporal aspects of engineering information. The research will investigate how such integrated representations can support consistency checking, automated reasoning, and the synthesis of behavioural models for dynamic analysis. Particular emphasis will be placed on the development of temporal modelling concepts, knowledge graphs, and formal verification techniques, enabling the automatic synthesis of timed and probabilistic behavioral models for model checking, performance evaluation, and optimization. The overall objective is to establish formal foundations that bridge static engineering descriptions and dynamic behavior, ultimately bridging static system design and dynamic operational analysis.
Deadline : 1st September 2026
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in fluid mechanics of twisted droplet flow
The position is associated with projects funded by the Research Council of Norway (HAIRY, LUBRIBOT) and the European Research Council (TWIST). The research will provide a fundamental understanding of the physical processes that arise when droplets interact with soft fibres of complex geometry. A central focus is to develop a new understanding of droplet wetting on fibrous structures, as well as the coupling between active surface properties (and their temporal changes) and external driving mechanisms/forces. This will be achieved through design of new experiments, as well as developing new theoretical understanding of the flow physics. The projects aim to design and investigate new fibre and surface geometries for flow control and for applications such as water harvesting from atmospheric fog. The physical designs will be partly bio-inspired and will emphasize sustainability. The projects offer opportunities to collaborate with both national and international collaborators.
Deadline : 3rd August 2026
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in High-Performance Computing
This PhD project aims to study the convergence of high-performance computing (HPC) and AI, which is a subject that sees an increasing importance due to the widespread use of AI and in particular machine learning (ML).
As today’s mainstream AI/ML workloads often resort to large-scale and energy-hungry supercomputers, it is necessary have a more critical look at how HPC should be used in this context. The general research question is: “How can HPC fur-ther enhance AI/ML, and vice versa?”
Working closely with the staff of the newly established HPC research group at the Department of Informatics and their collaborators (Simula, Inria, Lawrence Berkeley National Lab, University of Tokyo etc.), the PhD candidate is expected to research on some of the following themes:
- New algorithms for parallel/distributed AI/ML
- Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML
- Optimization of process-to-process communication in parallel/distributed AI/ML
- Enhancement of AI/ML with in-network computing & processing
- Adaptation & optimization of AI/ML software libraries for non-conventional hardware architectures
- Physics-informed ML surrogates for efficient simulation
- ML-supported optimization of HPC software
Deadline : 2nd August 2026
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Mars Atmospheric Science
The Martian atmosphere is a dynamic system, shaped by complex physical and chemical processes operating across a wide range of timescales. This PhD project will investigate dynamic phenomena and processes in the Martian atmosphere, combining space craft data analysis with opportunities for modelling depending on the candidate’s interests.
The successful candidate will have the opportunity to join the science teams of three major Mars missions: the NASA Mars 2020 Perseverance rover, and the ESA orbiters ExoMars Trace Gas Orbiter (TGO) and Mars Express. Through these mis-sion affiliations, they will gain access to both archived and newly acquired instru-ment data, including spectroscopic measurements and solar energetic particle and plasma observations, as well as become part of a wider international network of Mars scientists and engineers.
The specific research direction will be shaped in part by the candidate’s interests and background. Possible avenues for investigation include:
- The Martian water cycle, focusing on near-surface water vapor distribu-tion, surface-atmosphere exchange, and radiative transfer modelling of SuperCam spectra from the Perseverance rover.
- Space weather impacts on atmospheric composition, using ozone retrievals from TGO and Mars Express alongside energetic particle and plasma measurements to characterise the atmospheric response to solar storm events.
- Martian aurora, investigating the spatial and temporal variability of auro-ral emissions using multispectral imaging and spectroscopic data from the Perse-verance rover (SuperCam, Mastcam-Z) and supporting orbital datasets.
The candidate will be based at the Space Systems group at the Department of Technology Systems, University of Oslo, joining a team with established involve-ment in these missions.
Deadline : 16th August 2026
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Multisensory Networked Interactions with Robotics Avatars
The PhD fellowship position is located at the Department of Informatics and is hosted jointly by the Network and Distributed Systems Research Group and the Robotics and Intelligent Systems Research Group. The research groups consist of around 30 full- and part-time faculty members and several postdoctoral researchers and PhD students. The research groups conduct research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts.
This position is part of the DRIVE project, funded by the Research Council of Norway (RCN) (2026-2030), focusing on brain-driven multi-sensory robotic avatars for remote collaborative physical work. The DRIVE project involves Simula Research Laboratory and University of Texas at Austin, USA, as partners. In addition, this PhD candidate will be able to participate and exploit synergies with the National AI Centre for AI and Creativity (MishMash), led by University of Oslo, funded by the RCN (2025-2030).
The successful candidate will join the Sustainable Immersive Networking Lab (SINLAB), a multidisciplinary team working on systems that enable users to act in remote physical spaces and experience the effects of their actions through multimodal feedback (audio, video, haptics). While SINLAB addresses applications in health, industry, education, sports, entertainment and creative domains, the focus of the PhD candidate will be on remote collaborative physical work especially the real-time interaction among humans and between humans and a remote environment.
Deadline : 1st August 2026
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Materials Science and Solid-state electrochemistry
The PhD Research Fellow is a part of HYDROGENi, a national Norwegian Centre for Environment-friendly Energy Research (FME) dedicated to the research and innovations within hydrogen and ammonia crucial for reaching the 2030 and 2050 goals of the Norwegian hydrogen road map. The Centre is coordinated by SINTEF, with University of Oslo (UiO) as one of the partners.
The PhD candidate will be affiliated with the Electrochemistry group at the Department of Chemistry which consists of around 25 highly dedicated professors, researchers, postdocs, PhD Research Fellows, engineers, admin, master and exchange students. The group is located in the new Life Science Building which offers modern research facilities. The group is among the world-leading in solid-state electrochemistry and materials science of proton-conducting oxides for electrochemical energy conversion technologies such as proton ceramic fuel cells and electrolysers. These technologies are central in the transition to renewable energy and in the electrification of industrial processes.
The PhD Research Fellowship will broadly address mixed ionic/electronic conducting oxygen/steam electrodes, where the group have extensive activities in novel perovskites combined with exsolution of metal nanoparticles. The goal of the PhD will be to seek mechanistic insight into the electrode polarization processes as well as strategies for improving performance by optimization of composition, microstructure, and the interface to the proton-conducting electrolyte. The content of the PhD Research Fellowship can be tailored according to the qualifications and academic interest of top candidates including the possibility for combining experimental, simulation and theoretical methods.
The PhD Research Fellowship will exist in an innovative environment with the possibility for collaboration with a range of academic and development projects on related topics, in particular with CoorsTek Membrane Sciences AS which is a leading technology developer of proton ceramic electrochemical cells and partner in the HYDROGENi project. The Electrochemistry group is part of SMN, which is an interdisciplinary research centre in materials science and nanotechnology at UiO. The Centre is an international leader in basic science within functional materials and nanoscience, with applications within renewable energy, materials science, and nanotechnology.
Deadline : 1st August 2026
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(16) PhD Degree – Fully Funded
PhD position summary/title: PhD research fellow in Nordic Archaeology
The Department of Archaeology at the Museum of Cultural History is announcing a position as a PhD research fellow for a research talent motivated to contribute to the museum’s research on the Viking Age.
The Museum of Cultural History is Norway’s leading research museum in cultural history. We work to strengthen the connection between interdisciplinary research at a high international level and the museum’s societal mission in cultural heritage management. See our research strategy, and read about our work here for more inspiration.
The Department of Archaeology is responsible for the Museum of Cultural History’s collections of Nordic antiquities, medieval art, and runic inscriptions, and has expertise in all periods covered by our collections. The department has a large academic environment with very strong groups in, among other things, the Stone Age and the Viking/medieval periods.
The research group called Centre for Viking Age Research represents the museum’s academic environment in Viking Age studies. The position is announced openly within the field of Viking Age research. We are looking for someone who is proactive and wishes to be part of our dynamic research environment. Tailoring proposals to fit with the overall group strategy will be an advantage.
The University of Oslo encourages international collaboration, and we welcome projects that make this possible. We are looking for a candidate with a genuine interest in research dissemination and outreac.
The successful candidate will be based and supervised at the Department of Archaeology at the Museum of Cultural History.
Deadline : 16th August 2026
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Science and Technology Studies (STS)
The licensing system is a key arrangement in Norwegian environmental policy and is both a tool of democracy and a tool for the appropriation of land and natural resources for societal and economic ends. The goal of the APPROPRIATE project is to investigate the licensing system: how different valuation practices play out in planning and decisions making processes, how economic reasoning and other forms of expertise are taken into account, and how dilemmas and conflicts in processes towards accomplishing good licensing procedures are negotiated and handled. The licensing system will be analyzed with a point of departure in the contemporary situation, but will also study the licensing arrangement in its broader historical, political and economic context.
APPROPRIATE will focus on two empirical cases in particular: aquaculture and wind power. The PhD position is dedicated to the case of wind power. APPROPRIATE will work as a tight team where the PI will work with the project members on all the WPs, yet with clear distribution and responsibility of tasks. In addition to the PI and the PhD candidate, the project is in the process of employing one postdoctoral fellow.
Deadline : 15th August 2026
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Statistics and Data Science
The place of work is Department of mathematics at Blindern Campus, Oslo. The position is associate with the newly established Norwegian Maritime AI Centre, a national initiative for research, innovation, and education in artificial intelligence for the maritime sector. Here you will work together with other 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.
Modern vessels produce vast amounts of multivariate data streams. The project addresses the development of trustworthy statistical and machine learning methods for anomaly detection in such streaming data (time series), potentially extended to spatio‑temporal settings. The emphasis is on online, real‑time detection, which imposes strict constraints on the computational efficiency and latency of the detector. The candidate will develop generic, broadly applicable methods that can be adapted for monitoring the state, performance and health of maritime equipment and systems, as well as for maritime traffic surveillance.
The project will benefit from the anomaly detection research environment in the Norwegian Center for Knowledge‑driven Machine Learning (Integreat) and the ongoing project Statistical Methods for Online Detection of Anomalies (SODA), providing supervision and collaborators with expertise that spans from maritime applications to the derivation of theoretical guarantees.
Deadline : 5th August 2026
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in transport mode detection with location privacy
Automatic human activity detection (HAR), mainly transport-wise (transport mode detection), has been gaining interest since 2000. It allows us to better plan our cities, and new approaches have been made possible with the widespread use of smartphones carrying several different sensors. As a matter of fact, in most developed countries, smartphone penetration exceeds 80%. The automatic transport mode detection (TMD), when effectively exploited, possibly using some kind of machine learning algorithm, provides more accurate data than traditional data collection methods, e.g. paper-based surveys.
This data is valuable to several stakeholders: i) architects and urban planners when designing cities or roads, ii) public transportation systems (e.g., as an automatic way for issuing tickets for the travelers, particularly when they are using public transport means such as train, bus, subway, etc.), iii) mobile users with a need to navigate, iv) healthcare (e.g., it is a useful way of detecting abnormal activities of patients with Alzheimer, dementia or any other mental pathologies, and v) entertainment, and more (e.g., a football match, a national festival or a bad weather condition may change the regular public transportation demands in a particular period of time). In addition, the information obtained by TMD systems is essential for providing mobile users with various value-added services, without tracking the user, for location-privacy. This proposal aims at solving the challenge of location-privacy by developing a) a system that can perform TMD with the capacity of generalization (not significantly affected by the geographical location, user variation, smartphone type, or smartphone position, e.g., in a bag or pocket), without tracking the user for location-privacy.
Software lies at the core of all IT-systems. The Programming Section, in which the candidate should be integrated, performs research and teaching on how to develop high quality software that benefits society and that is useful for both individuals and organizations.
Deadline : 5th August 2026
(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellowship in Political Science (3-4 years)
We are offering one PhD position with specialisation in either comparative politics, or political data science. The successful applicant(s) will be part of the research project “Authoritarian Threats to Scientific Knowledge” (AutoKnow), which is funded by the European Research Council. The PhD fellowship period is three years and devoted to carrying out research and pursuing a PhD in the context of the AutoKnow project. The position may also include other career-enhancing activities: depending on the candidate’s competence and the teaching needs of the department, the fellowship period can be extended up to four years for qualification work consisting of e.g. teaching duties.
The primary aims of AutoKnow are 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.
It 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?
Deadline : 1st September 2026
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellowship for the project “Truth, Information, Democracy and Law”
A position as a PhD Research Fellow (SKO 1017) is available as part of the project Truth, Information, Democracy and Law – Department of Private Law (TIDAL) funded by the Research Council of Norway (RCN) and Norid AS.
The fellow will be responsible for their own PhD research and work closely with the TIDAL team at the Norwegian Research Center for Computers and Law, Department of Private Law, UiO (NRCCL)
The project runs from April 2026 until March 2030. In addition to researchers at the NRCCL, the project team includes researchers at Queen Mary University of London, University of Bergen, University of Tromsø, Lund University, Bond University, BI Norwegian Business School, and Boston University. At the NRCCL, the core project team comprises four people, including the PhD Research fellow. The project is led by Professor Lee A. Bygrave.
The appointment period is for three years dedicated to research training, or four years with career-enhancing work making up 25% of the total workload.
A four-year fellowship requires that the appointee can contribute to the Faculty of Law’s current teaching needs.
PhD fellowships are recruitment positions intended to lead to a PhD degree at The Faculty of Law.
Deadline : 27th August 2026
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellowship in Political Science (3-4 years)
We are offering one PhD position with specialisation in either comparative politics, political data science, or public administration. The successful applicant will be part of the research project “Waging of War” (WOW), which is funded by the European Research Council. The PhD fellowship period is three years and devoted to carrying out research and pursuing a PhD in the context of the WOW project. The position may also include other career-enhancing activities: depending on the candidate’s competence and the teaching needs of the department, the fellowship period can be extended up to four years for qualification work consisting of e.g. teaching duties.
The primary aims of WOW are to investigate how the organization of warring parties influences the conduct of war, and conversely, how the fighting impacts the organizational structure of the belligerents. WOW will theorize, identify, classify, and code the characteristics of state military organizations and non-state armed groups and collect data relating to the dynamics of warfare. We will answer questions such as:
- How are wars fought?
- How does the organization of a belligerent party affect the way they wage war?
- How do the dynamics of the war affect the organization of the fighting parties?
Deadline : 1st September 2026
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellowship in Political Science (3-4 years)
We are offering one PhD position in comparative political behaviour with a focus on gender gaps in political-democratic orientations. The successful applicant will participate in the research project Struggling Women and Men: Political-Democratic Gender Gaps in a High-Trust Welfare State (STRUGGLE), funded by the Norwegian Research Council. The PhD fellowship period is three years and devoted to carrying out research and pursuing a PhD in the context of the STRUGGLE project. The position may also include other career-enhancing activities: depending on the candidate’s competence and the teaching needs of the department, the fellowship period can be extended up to four years for qualification work consisting of e.g. teaching duties.
The STRUGGLE project, which involves several senior scholars at UiO and beyond, breaks new ground by analyzing the impact of gendered (male as well as female) life experiences and grievances across the life course. These are related to domains such as education, work, family, physical and mental health, and public policy experiences. How do gendered life experiences in these domains generate political-democratic gender gaps, seen for example in political trust, welfare state legitimacy, political participation, and voting behaviour? How do different gendered grievances interact across the life course? The project has a focus on Norway/Scandinavia in a broader European comparative perspective.
Deadline : 1st September 2026
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellows in Human Geography
We seek candidates with the potential to contribute to the development of human geography as a discipline at the department. The fellows are expected to pursue independent research under supervision, as outlined in their submitted project proposals. We value the contribution of young scholars to the academic environment and study programmes at the department and encourage candidates with a desire to participate actively in departmental life to apply.
Applicants should have research interests that resonate with ongoing research at the department. We currently have strong research communities in the fields of urban studies, sustainable transformations, work, organisations and politics, social inequality, migration, integration and diversity, cultural and political participation, population dynamics. Human geographers are also engaged in economic and political geography. The call is not thematically limited to these topics, but preference can be given to candidates with projects that align with the department’s supervisory capacity. Applicants are expected to demonstrate through their application letter and project proposal how they will contribute to the development of human geography at the department.
The position requires participation in the Faculty of Social Sciences’ organised research education programme (PhD programme) and the completion of a doctorate in human geography. The candidates who are hired will automatically be admitted to the PhD programme.
Deadline : 15th August 2026
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellowship in Political Science (3-4 years)
We are offering one PhD position in political science. We invite applications from excellent candidates in all sub-fields of political science, including public policy and administration, comparative politics, political theory, international relations and research methods.
The appointment is for a fixed, non-tenured term of 3 years. The position may also include other career-enhancing activities: depending on the candidate’s competence and the teaching needs of the department, the fellowship period can be extended up to four years for qualification work consisting of e.g. teaching duties. The department teaches in all the sub-fields mentioned above.
The successful candidate will be part of the Faculty’s PhD programme. The work is expected to lead to a PhD in political science.
To promote a strategic career path, all PhD fellows are expected to submit a career development plan, specifying career goals and the competencies that the PhD fellow should acquire, no later than one month after commencement of the fellowship period. The department is responsible for ensuring that the plan is followed up and that the PhD fellow has access to career guidance throughout the duration of the fellowship.
Deadline :1st September 2026
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellows in Sociology
We seek candidates with the potential to contribute to the development of sociology as a discipline at the department. The fellows are expected to pursue independent research under supervision, as outlined in their submitted project proposals. We value the contribution of young scholars to the academic environment and study programmes at the department and encourage candidates with a desire to participate actively in departmental life to apply.
Applicants should have research interests that resonate with ongoing research at the department. We currently have strong research activities in the fields of social inequality, migration, integration and diversity, cultural and political participation, urban studies, sustainable transformations, population dynamics, and work, organisations and politics. The call is not thematically limited to these topics, but preference can be given to candidates with projects that align with the department’s supervisory capacity. Applicants are expected to demonstrate through their application letter and project proposal how they will contribute to the development of sociology at the department.
The position requires participation in the Faculty of Social Sciences’ organised research education programme (PhD programme) and the completion of a doctorate in sociology. The candidates who are hired will automatically be admitted to the PhD programme.
Deadline : 15th August 2026
About The University of Oslo, Norway – Official Website
The University of Oslo, until 1939 named the Royal Frederick University is the oldest university in Norway, located in the Norwegian capital of Oslo. Until 1 January 2016 it was the largest Norwegian institution of higher education in terms of size, now surpassed only by the Norwegian University of Science and Technology. The Academic Ranking of World Universities has ranked it the 58th best university in the world and the third best in the Nordic countries. In 2015, the Times Higher Education World University Rankings ranked it the 135th best university in the world and the seventh best in the Nordics. While in its 2016, Top 200 Rankings of European universities, the Times Higher Education listed the University of Oslo at 63rd, making it the highest ranked Norwegian university.
The university has approximately 27,700 students and employs around 6,000 people. Its faculties include (Lutheran) theology (with the Lutheran Church of Norway having been Norway’s state church since 1536), law, medicine, humanities, mathematics, natural sciences, social sciences, dentistry, and education. The university’s original neoclassical campus is located in the centre of Oslo; it is currently occupied by the Faculty of Law. Most of the university’s other faculties are located at the newer Blindern campus in the suburban West End. The Faculty of Medicine is split between several university hospitals in the Oslo area. The university also includes some formally independent, affiliated institutes such as the Centre for International Climate and Environmental Research (CICERO), NKVTS and the Frisch Centre.
The university was founded in 1811 and was modeled after the University of Copenhagen and the recently established University of Berlin. It was originally named for King Frederick VI of Denmark and Norway, and received its current name in 1939. The university is informally also known as Universitetet (“the university”), having been the only university in Norway, until 1946 and was commonly termed “The Royal Frederick’s” (Det Kgl. Frederiks), before the name change.
The Nobel Peace Prize was awarded in the university’s Atrium, from 1947 to 1989 and will be so again in 2020, making it the only university in the world to be involved in awarding a Nobel Prize. Since 2003, the Abel Prize is awarded in the Atrium. Five researchers affiliated with the university have been Nobel laureates.
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