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: 4-year PhD position in Biostatistics
The candidate will be part of the UiO:Life Science convergence environment “UiO:Real-World Evidence: Capitalizing on Norwegian Health Data for Rapid Generation of Real-World Evidence on Effectiveness and Safety of Pharmaceuticals”, funded by UiO’s interdisciplinary strategic area UiO:Life Science. The position is full-time for a duration of four years and includes 25% work dedicated to career promoting work such as teaching, advising and other activities within UiO:Life Science, the convergence environment and OCBE.
The candidate will work on methodological challenges in defining, identifying and estimating the causal effects of vaccines and other pharmaceuticals from observational data. The project will focus on real-world studies of effectiveness and safety of pharmaceuticals using linked data from population-wide Norwegian health registries, in addition to data simulations (e.g. based in mathematical models for infectious diseases).
A main focus of the project will be on the analysis of complex event history data, with some relevant topics being the analysis of outcomes under competing risks, studies of individual heterogeneity, estimation using machine learning methods and particular challenges present when studying infectious diseases. An overall goal of the project is to improve current practice in the analysis of linked health registries though the development, implementation and application of methods for causal inference in time-to-event outcomes.
Deadline : 12th February 2026
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Research Fellowship (SKO 1017) at the Department of Archaeology, Conservation and History
The appointed candidate will work within the overarching goals of the POLYCHROME project. The project investigates evolving attitudes to devotional images that have been selectively mutilated since the Reformations, and the influence of restorers on how this heritage is interpreted today
Candidates should propose a research project that examines, in one form or another, historical sources that shed light on changing attitudes to medieval objects after the Reformations in the Scandinavian countries.
Preference will be given to independent projects devoted to one or more of these possible themes:
- Pre- and post-Reformation theological positions on the offense of image-breaking.
- Idolatry, heresy and Catholic practices in the 17th and 18th centuries.
- Image-worship, image-acceptance, image-rejection and image-breaking in Scandinavian churches.
- How the neglect and crumbling state of medieval churches was approached by private owners, clergy and congregations.
- Continued roles of martyr saints (Olav and Sunniva), despite proscription of saints as intercessors.
- The spectacle of punishment in post-Reformation Scandinavia.
- Natural magic and Catholic practices in the post-Reformation period.
- The rationality and uses of Black Books (Svartebøker).
- Comparisons between documented iconoclastic acts in the Scandinavian countries and those in other locations, or at other historical moments.
Deadline : 22nd March 2026
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Research Fellowship (SKO 1017) in heritage conservation
A Doctoral Research Fellowship (SKO 1017) in heritage conservation is available at the Department of Archaeology, Conservation and History, University of Oslo (UiO).
The position is part of the project POLYCHROME ‒ The Survival of Damaged Medieval Polychromed Heritage in the Nordics, which is funded by the European Research Council (Grant Agreement number 101125383). More information of the project can be found here.
Deadline : 22nd March 2026
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Research Fellowship in Archaeological and Palaeoenvironmental Geochemistry
The appointed candidate will work within the overarching goal of the project EcoArch to disentangle the drivers of landscape and climate change in the Afrotropics since the introduction of domesticated food economies. Candidates should propose a research project that provides, in one form or another, an examination of landscape transformation in the Afrotropics since the advent of agriculture using faecal, fire and vegetation biomarkers and stable isotopes from sediments recovered from lakes or swamps as well as archaeological sites. The candidate will apply state-of-the-art laboratory analyses of biomarkers and substance-specific isotopes from dated lake and swamp cores from Africa and Arabia. Applicants are required to upload/attach a research proposal (hf.uio.no) stating how they intend to address the central research questions and offer theoretical and methodological approaches to attend to the project’s objectives. Preference will be given to independent projects devoted to addressing one or more of these following possible themes:
- The roles humans have had over the last 6000 years in shaping ecological baselines.
- Landscape changes across the Afrotropics following the introduction of pastoralism and plant cultivation.
- Potential roles of fire, land clearance, grazing, plant selection and climate variability in shaping landscape complexion.
- Use of organic biomarkers and stable isotopes to shape our understandings of ecosystem functionality over different time scales.
Deadline : 1st March 2026
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral research fellowship in the psychology of music, AI and creativity
A Doctoral Research Fellowship (SKO 1017) in Music Psychology is available at the Department of Musicology, University of Oslo.
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 investigate AI’s impact on creative processes, develop innovative CoCreative AI systems and educational strategies, and address AI’s ethical, cultural, legal, and societal implications in creative domains. See MishMash Centre for AI and Creativity | A Norwegian AI centre funded by the Research Council of Norway (2025-2030) for more information.
This position will be part of WP3 (Creative use of AI for health and well-being) of MishMash, with the possibility of contributing to additional work packages. We welcome research proposals investigating how humans perceive, experience and relate to AI-generated music, or music that is believed to be AI-generated. Possible methods include surveys, behavioural experiments, and neuroimaging (fMRI, fNIRS or EEG). It is expected that the appointed candidate will collaborate across the MishMash network, and participate in all relevant MishMash activities.
Deadline : 1st March 2026
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Fellow position in Psychology
A 4-year PhD Fellow position in psychology is available at the PROMENTA Research Center, Department of Psychology, University of Oslo. The candidate will be part of the UiO:Life Science convergence environment “Hormonal contraceptives and mental health: A convergent, interdisciplinary approach [ContraMent]”, funded by UiO:Life Science.
The position is full-time for a duration of four years and includes 25% career promoting work related to supporting UiO:Life Science and convergence environment activities and teaching at the department.
Deadline : 23rd February 2026
(07) PhD Degree – Fully Funded
PhD position summary/title: “Tumor-host interaction in oral squamous cell carcinoma (OSCC)”
It is becoming increasingly clear that the development and progression of cancer, including OSCC, involves not only genetic/epigenetic abnormalities in the cancer cells but also requires a mutual interplay between the tumor cells and adjacent stromal cells such as fibroblasts, muscle cells, immune cells, and endothelial cells (tumor-host interactions). The current project aims to understand the influence of invading oral cancer cells on skeletal muscle. Molecular profile of the infiltrated skeletal muscle cells together with the functional roles and prognostic significance of selected miRNA/proteins will be investigated. The current project will employ high throughput analyses methods such as transcriptomic and proteomic profiling. In addition, 2D and 3D cell culture models will be used.
Deadline : Open until filled
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD position on the history of medical plastics
The PhD student will join the research team based at the University of Oslo. The PhD project will explore the historical roots of current systems of disposability. It could be for instance by exploring the history of one disposable medical device building on a historical (and possibly also ethnographic) investigation, exploring its emergence and advertisement as a commercial object and its introduction and development in the healthcare practice in social democracy, how it was normalized and naturalized (or not) and how it was affected by social and cultural processes of institutional and infrastructural change. Your research will be carried out in close collaboration with the international research team in After the Single Use, including the NGO Health Care without Harm. The PhD student will also contribute to other project-related tasks and activities.
We are seeking a candidate with a master’s degree in the social sciences or humanities with good knowledge of the health sector, obtained either by research or practical research. We also welcome candidates with medical or other health sciences degrees, as long as they can demonstrate experience with humanities and/or social science research.
Deadline : 15th March 2026
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Algebra, Geometry and Topology
A fourth year may be considered and will in that case involve 25% other career-promoting work. Other career-promoting work may consist of teaching, supervision, and/or research assistance. This is dependent upon the qualifications of the applicant and the current needs of the department.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
Place of work is the Department of Mathematics at Blindern, Oslo.
We are looking for a talented PhD fellow to be affiliated with the section Algebra, Geometry and Topology, which comprises the two research groups Algebra and Algebraic Geometry and Geometry and Topology.
We are seeking a highly motivated and qualified candidate whose research interests and academic background are well aligned with the research activities of one or more of these groups. Applicants are expected to describe clearly how their research interests connect to the ongoing research within the section.
Deadline : 1st March 2026
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Algebraic Topology
A fourth year maybe considered and it will involve 25% of other career-promoting work. Other career-promoting work may consist of teaching, supervision, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department.
No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.
Place of work is the Department of Mathematics at Blindern, Oslo.
The PhD position will be under the supervision of Achim Krause in the Algebra, Topology and Geometry section of the Department of Mathematics, and is funded through the project “Effective Spectra” funded by the Research Council of Norway.
The thesis project will be related to part of this project, details will be decided together with the supervisor. The topology group at UiO currently consists of Kim Frøyshov, Achim Krause and John Rognes, as well as two PhD students, and there is also interaction with the rest of the Algebra, Geometry and Topology section.
Deadline : 1st March 2026
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Biochemistry and Structural Biology
The project focuses on biochemical and structural biology aspects of a protein redox network that is important for bacterial defense and survival e.g. during host infections. Firmicute bacteria, including the human pathogens Staphylococcus aureus and Bacillus anthracis have a unique bacterial low molecular weight thiol (bacillithiol), which is a key antioxidant compounds used to maintain the cellular redox balance. Under oxidative stress, bacillithiol becomes oxidised and regenerated by a bacillithiol disulfide reductase. Bacillithiol also protects cysteine residues from irreversible over-oxidation through post-translational bacillithiolation, which is reversed after stress by bacilliredoxin enzymes.
The PhD candidate will use biohemical, biophysical, and structural methods to decipher reaction mechanisms of these enzymes, and to identify inhibitor leads with potential antimicrobial or antivirulence activity.
Deadline : 1st March 2026
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Cellular and Molecular Neurobiology
Exposing animals to hypothermia can induce neuronal plasticity, improve memory functions, and protect neurons from degeneration. The goal of this project is to investigate the underlying molecular mechanisms and neural benefits of hypothermia with important medical implications. To study this, the Ph.D. candidate will use mammalian cells, organoids, and animal models, and employ a range of approaches, including cell culture systems, diverse molecular techniques, and advanced imaging.
The project will involve both internal and external collaborations, offering the opportunity of interdisciplinary research, conducted in leading labs and stimulating research environment.
Deadline : 8th March 2026
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Computational Medicinal Chemistry for Cancer Drug Discovery
We invite applications for a PhD Research Fellow position in within the interdisciplinary research team GLIOFORCE – Targeting Cellular Biomechanics to Block Tumour Cell Invasion, a new Life Science Convergence Environment at the University of Oslo.
The GLIOFORCE team merges world-class expertise in biomedicine, physics, engineering and pharmacy to explore mechano-adaptation as a targetable vulnerability in the most aggressive brain cancer, Glioblastoma. The successful candidate will work closely with 3 other PhD students in an interdisciplinary research consortium that will describe, model and manipulate the physical forces that cancer cells experience during invasion. With this information, we aim to identify the weak spots in cancer cells’ spreading strategy and design innovative tools that specifically target these vulnerabilities. By focusing on physical mechanics of cancer cell spreading, GLIOFORCE aims to open up new avenues for treating aggressive cancers like Glioblastoma.
Deadline : 1st March 2026
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Computational Medicinal Chemistry for Addiction Research
Addiction is a growing global crisis, and understanding individual vulnerability is critical for prevention and treatment. The DECODING ADDICTION project investigates the role of the mu-opioid receptor (OPRM1/μOR) in addiction susceptibility by studying a naturally occurring mutation (R181C) discovered in the Norwegian popu-lation. This mutation abolishes opioid receptor signaling and offers unprecedented insights into how μ-opioid signaling shapes addiction risk. This PhD project (Work Package 4) aims to use advanced computational methods to elucidate the structural and functional consequences of the R181C mutation in the μ-opioid receptor.
The PhD candidate will:
• generate high-resolution models of wild-type and R181C mutant μ-opioid receptor based on existing crystallographic data and perform molecular docking for ligand optimization
• perform extensive molecular dynamics (MD) simulations (AMBER, NAMD, GROMACS) in fully hydrated lipid bilayer systems to replicate physiological conditions and assess receptor conformational changes
• conduct structural analyses including RMSD, RMSF evaluations, and hydrogen bond assessments to identify key interactions disrupted by the R181C mutation
• perform free energy calculations using Free Energy Perturbation/Thermodynamic Integration (FEP/TI) to quantify binding affinity changes and receptor-Gi protein coupling alterations
• investigate potential disulfide bond formation between R181C and C353 of Gi protein and collaborate closely with experimental partners in WP1-3 to interpret findings in the context of human behavioral data, mouse models, and cell biology results
Deadline : 1st March 2026
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Cosmology
Constraining gravity and cosmological models using the Euclid survey, supervised by Assoc. Prof. Hans Winther.
The Euclid survey is a satellite mission lead by the European Space Agency that was launched in July 1st 2023 and is currently collecting data. Euclid will probe the history of the expansion of the universe and the formation of cosmic structures by measuring the redshift of millions of galaxies out to 10 billion years into the past shining light on dark matter, dark energy and allow us to test Einsteins theory of General Relativity on cosmological scales. The data it will collect will consist of locations of tens of millions of galaxies with accurate spectroscopic redshifts together with billions of images of galaxies with photometric redshifts that can be used to extract the gravitational lensing effect caused by the distribution of dark matter in our Universe.
The successful candidate will be trained to work on both galaxy clustering and weak gravitational lensing, using N-body simulations to simulate structure formation and connecting the simulations to observables. The candidate will also be working with machine learning techniques to develop emulators for the theoretical predictions of various observables as function of cosmological parameters. The candidate will develop and use skills in topics such as statistics, high performance programming, machine learning and using data to constrain cosmological models.
Deadline : 1st March 2026
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Cosmology – up to two positions
The successful candidates will join the CMB&CO group at ITA, currently composed of two professors, five researchers, three postdocs, three PhD candidates, and three master’s students. We have a collaborative work environment with active mentoring, frequent group meetings and a social atmosphere, and value a gender balanced and inclusive environment. The candidate will take part in the larger Cosmoglobe project aiming to do joint end-to-end analysis of a wide range of cosmological datasets, including archival data such as AKARI, DIRBE, FIRAS and Planck, ongoing projects like COMAP, PASIPHAE, Simons Observatory, SPHEREx and SPIDER, as well as future experiments like LiteBIRD and FOSSIL. We have a large international network of collaborators, and as a doctoral fellow you will have many opportunities to travel and collaborate with researchers at other institutions.
Position 1 – Origins: Constraining the cosmic infrared background and interplanetary dust emission using multi-generational data, supervised by Dr. Duncan Watts (duncanwa@astro.uio.no) and Prof. Ingunn Wehus (i.k.wehus@astro.uio.no).
The ERC-funded Origins project has the goal of modeling the diffuse sky from 1 micron to 1 GHz, including contributions from the Cosmic Infrared Background (CIB) monopole and fluctuations, zodiacal dust, and dust emission in the Milky Way. A primary goal of Origins is to create full-sky maps of the CIB as a function of redshift using IRAS, AKARI, DIRBE, Planck, and upcoming SPHEREx data. The candidate will perform all levels of data analysis, from the processing of raw data to maps to power spectrum estimation of resulting CIB maps. The candidate will also have the opportunity to develop a computational theoretical framework for predicting CIB fluctuations as a function of cosmological parameters.
The candidate will work with time-ordered data from each of the above experiments. The project will entail detailed interplanetary dust modeling, imperative for robust detection of CIB fluctuations. The analysis of data collected over four decades will allow for direct testing and modeling of the time variability of zodiacal light emission.
The successful candidates will join the CMB&CO group at ITA, currently composed of two professors, five researchers, three postdocs, three PhD candidates, and three master’s students. We have a collaborative work environment with active mentoring, frequent group meetings and a social atmosphere, and value a gender balanced and inclusive environment. The candidate will take part in the larger Cosmoglobe project aiming to do joint end-to-end analysis of a wide range of cosmological datasets, including archival data such as AKARI, DIRBE, FIRAS and Planck, ongoing projects like COMAP, PASIPHAE, Simons Observatory, SPHEREx and SPIDER, as well as future experiments like LiteBIRD and FOSSIL. We have a large international network of collaborators, and as a doctoral fellow you will have many opportunities to travel and collaborate with researchers at other institutions.
Position 1 – Origins: Constraining the cosmic infrared background and interplanetary dust emission using multi-generational data, supervised by Dr. Duncan Watts (duncanwa@astro.uio.no) and Prof. Ingunn Wehus (i.k.wehus@astro.uio.no).
The ERC-funded Origins project has the goal of modeling the diffuse sky from 1 micron to 1 GHz, including contributions from the Cosmic Infrared Background (CIB) monopole and fluctuations, zodiacal dust, and dust emission in the Milky Way. A primary goal of Origins is to create full-sky maps of the CIB as a function of redshift using IRAS, AKARI, DIRBE, Planck, and upcoming SPHEREx data. The candidate will perform all levels of data analysis, from the processing of raw data to maps to power spectrum estimation of resulting CIB maps. The candidate will also have the opportunity to develop a computational theoretical framework for predicting CIB fluctuations as a function of cosmological parameters.
The candidate will work with time-ordered data from each of the above experiments. The project will entail detailed interplanetary dust modeling, imperative for robust detection of CIB fluctuations. The analysis of data collected over four decades will allow for direct testing and modeling of the time variability of zodiacal light emission.
Position 2 – OpenHFI: re-analysis of the Planck High Frequency Instrument, supervised by Dr. Mathew Galloway (mathew.galloway@astro.uio.no) and Prof. Hans Kristian Eriksen (h.k.k.eriksen@astro.uio.no).
The main goal of this position is to implement a novel Bayesian re-analysis pipeline for Planck HFI in the Commander pipeline, and use that pipeline to obtain new constraints on the Lambda-CDM cosmological parameters. The OpenHFI project intends to resolve some of the residual systematic problems with the published Planck HFI maps, by implementing new mitigation techniques for things like the Analogue to Digital Converter (ADC) nonlinearities, cosmic rays and gain fluctuations. Using the Cosmoglobe end-to-end Gibbs sampling approach, we intend, for the first time, be able to leverage all of the power of Planck HFI to get the best possible constraints on the cosmological parameters and create a new set of legacy Planck products that can be used in joint analyses with other fields of astronomy going forwards.
This work will be done within a larger team consisting of both local and external collaborators, organized into the OpenHFI collaboration. The successful candidate will be exposed to and trained in both low-level instrumental modeling, high-level component separation and cosmological parameter estimation, and high-performance computing. This work will also take place within the larger Cosmoglobe framework, and there will be ample opportunities to explore synergies with other r
Deadline : 1st March 2026
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Cybersecurity for Critical Infrastructures
The PhD project focuses on security analysis of critical infrastructures with an emphasis on communication networks and system components. The research will involve studying and modelling the different components of selected critical infrastructures such as energy, industrial control, and petroleum systems. It will also involve analyzing commonly used network- and Operational Technology (OT) protocols in critical infrastructure environments.
The candidate will develop attack scripts and testing scenarios to assess system vulnerabilities in a controlled and ethical manner, and design and evaluate detection capabilities, including intrusion detection mechanisms, to identify and mitigate cyber threats. The overall goal is to contribute to improved security, resilience, and situational awareness in critical infrastructure systems.
Deadline : 1st March 2026
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Criminology
The RaRiE project is a comparative study of rehabilitation and reintegration in the penal sphere. By examining evidence from three countries that are often considered ‘progressive’ in penal policy and practice terms (the Netherlands, Norway and Scotland), the RaRiE project aims to help us better understand whether and where rehabilitation lives up to its ideals, and to creatively, critically and comparatively interrogate its development and prospects, its coherences and contradictions, its rhetoric and its realities, its pitfalls and its possibilities. Through a new approach called Dialogical Comparative Penology (DCP), RaRiE will provide a uniquely comprehensive analysis of the nature and impact of rehabilitation in these three nations. It will also develop new tools and metrics for critically assessing rehabilitative systems and practices, to better direct their future development. In and through dialogue with policymakers, senior leaders in prison and probation systems, practitioners, activists and people with lived experience of rehabilitation, RaRiE will help to improve the fairness and effectiveness of European penal systems. RaRiE’s ambition — the ‘step-change’ it offers – lies both in developing a new approach to comparative penology, and in using that new approach to reshape how rehabilitation is understood and developed in Europe.
Deadline : 13th February 2026
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Deep learning for imaging of marine ecosystems
You are keen on contributing to new advances in deep learning methodology for imaging for monitoring marine ecosystems. This can be data collected about the marine environment from, e.g., satellites, using passive or active acoustic sensors, or underwater video/images from AUVs. The research will be done in cooperation with the Institute of Marine Research.
The core of the position will be on development of new deep learning methods for segmentation/classification of data with limited and weak labels. Your may work on adapting or developing marine foundation models. Self-supervised learning and active learning are also possible research topics.
You can also focus on challenges related to modelling physics-informed models, incorporating uncertainty, or methods with improved explainability. Your research plan will be made in agreement with Institute of Marine Research.
You are suited for this position if you are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications.
Deadline : 1st March 2026
(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Deep learning for medical image analysis
ou are keen on contributing to new advances in deep learning methodology for cardiac ultrasound imaging. Deep learning methods for cardiac ultrasound can e.g. be used for automatic measurements from image sequences, to assess im-age quality, for clinical applications, or take benefits of recent research results in foundational neural models, where models learn from large unlabelled image datasets, but also on additional data like clinical reports or electronic health rec-ords. The work will be done in collaboration with GE Healthcare and their re-search center in Oslo.
Your interests are in neural networks research. You have a big motivation to both contribute to new methods in neural networks, and develop models suited to the particular application in ultrasound imaging.
You will focus on challenges related to self-supervised learning, foundation models, multimodal data, and combine this with either modelling knowledge, incorporate reliability/uncertainty, and/or explainable models.
Deadline : 9th February 2026
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Deep Learning for Medical Imaging and Multi-Modal Data in Cancer Research
This position is funded by the Department of Informatics (IFI) at the University of Oslo and is a joint appointment between IFI and the Institute for Cancer Genetics and Informatics (ICGI) at Oslo University Hospital.
ICGI conducts research at the intersection of biomedicine and informatics, using informatics—and in particular artificial intelligence (AI)—to study genetic and epigenetic alterations in cancer. ICGI is recognised for its work in digital pathology, where AI is used to develop new models for improved cancer diagnosis, prognosis, and personalised treatment. It is a multidisciplinary environment with approximately 50 staff members, including developers, researchers and laboratory personnel. Its highly specialised software development group comprises about 20 full-time employees.
Deadline : 1st March 2026
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Deep learning for subsurface imaging
Do you want to develop new technology for interpretation of images in the field of geoscience? Improve deep learning methods for multi-modal image data applied to industrial challenges in the energy sector? Contribute to a deeper understanding of the composition of the crust of the earth? Explore how to benefit from recent research in foundational neural models that learn from large unlabeled image datasets, also incorporating context from additional data such as wireline logs or well reports.
You are suited for this position if you are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications.
Deadline : 9th February 2026
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Digital innovation
We are looking for a highly motivated candidate interested in developing and conducting research on the topic of AI and money laundering.
Money laundering remains a critical global issue, with an estimated 2–5% of the world’s GDP (roughly $2 trillion) lost to illicit financial flows each year. Such criminal activity undermines economies and security, fueling corruption, and organized crime. Financial institutions and organizations worldwide are under pressure to curb these losses, yet traditional defences struggle to keep up. Legacy rule-based compliance systems, long the cornerstone of anti-money laundering (AML) efforts, are increasingly ineffective – often generating overwhelming false-positive alerts that distract from truly suspicious activities. New approaches are needed to detect complex laundering schemes and reduce economic harm. Consequently, organizations are now looking to artificial intelligence (AI) to enhance AML capabilities. AI-driven solutions can learn from vast datasets to spot hidden patterns and anomalies beyond human or rule-based detection.
By drawing on the Information Systems perspective, this PhD project may address one or several interconnected themes related to advancing AI-enabled anti–money laundering in financial ecosystems. The project will be developed jointly by the PhD candidate and the supervisors and potential themes include, but are not limited to:
Deadline : 1st March 2026
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Designing Technology for Well-Being with Emerging Interactive Technologies
This PhD project will contribute to the digital transformation of the Norwegian public sector and broader societal contexts by examining how emerging interactive technologies can support the inclusion of end-users in the design of technology for well-being. The project focuses on emerging technologies such as generative AI, data-driven systems, and interactive and physical technologies.
The successful candidate is expected to engage in hands-on prototyping activities to explore and evaluate novel approaches, methods, and tools for meaningfully involving end users throughout the design process of public-sector digital services. This includes investigating how alternative and innovative design approaches may reduce barriers to participation and support collaboration among designers, public-sector professionals, and end-users.
The project involves close empirical engagement with relevant user groups and public-sector stakeholders. The candidate will work collaboratively with participants throughout the research process, from early exploration to design, implementation, and evaluation. As such, the position requires a strong technical background and the ability to design, implement, and iteratively refine technical prototypes informed by empirical insights and user experience.
The PhD project is anchored in the DESIGN research group, which has a strong tradition in Participatory Design rooted in the Scandinavian and democratic tradition. The project aims to strengthen the group’s collaboration with the public sector, and the candidate is expected to coordinate relevant activities with other PhD candidates in the group and actively participate in the group’s lab activities and research environment.
Deadline : 1st March 2026
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Extragalactic Astrophysics
The present position is for a PhD Fellow to join the Extragalactic Astrophysics group and do a thesis project supervised by Prof. Sijing Shen. The research work will be focused on numerical galaxy formation and the interactions between galaxies and their environment. In particular, the successful candidate will be involved in the ESA ARRAKIHS satellite mission with the main goal of understanding the impact of dark matter models and baryonic processes in faint substructures (e.g., dwarf satellites and stellar tidal streams) around disk galaxies.
The successful candidate will design, perform and analyse idealized and cosmological hydrodynamical galaxy formation simulations, develop or improve models for important physical processes which impact galaxy evolution, such as dark matter models, gas accretion, star formation, black hole formation and evolution, and radiative or mechanical feedback from stars and active galactic nuclei. The successful candidate will also post-processing large sets of simulation data and make detailed comparison with multi-wavelength observations of the stellar and gaseous components. The successful candidate will have ample opportunities to collaborate with both simulators and observers worldwide and travel for conferences and collaborative visits.
Deadline : 1st March 2026
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Fish Immunology and Development
Applicants are invited to apply for a 3-years PhD position in “Fish Immunology and Development” to be based at the Department of Biosciences of the University of Oslo. This role contributes to the ERC-funded starting grant project “Fish-S.H.I.E.L.D.”, which aims to investigate the fish branchial cavity immune surveillance system and its importance for the fish defense against infectious diseases in aquaculture.
Deadline : 1st March 2026
(27) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Formal Methods for Industrial Engineering
Are you interested in a PhD in the field of formal methods and knowledge presentation? In this PhD position, you will conduct cutting-edge research in these areas. You will learn state-of-the-art techniques in formal methods and knowledge representation and apply them to high-impact use cases related to industry.
Potential candidates should have an interest in model-based design and analysis techniques. They will apply and develop formal methods and knowledge representation techniques for industrial systems. The candidate will acquire complex analysis skills for industrial problem scenarios. This will enable publications at prestigious conferences and in scientific journals. Therefore, this position opens up great opportunities for a future career in both academia and industry.
This position is funded by the Department of Informatics and will be based in the Reliable Systems (PSY) group. PSY is a very active, internationally oriented research group at the Department of Informatics, which works on formal methods and knowledge representation. The group provides a vibrant and collaborative research environment with a strong commitment to research excellence. This position is ideal for applicants interested in logic, formal descriptions, software engineering, and programming.
Deadline : 1st March 2026
(28) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in fluid mechanics
A PhD Research Fellow is available at the Department of Mathematics in the research group of Prof. Andreas Carlson at the University of Oslo (UiO).
The positions are part of two projects funded by the Research Council of Norway for the development of a soft hairy surfaces for droplet flow control and vibration-based soft robot. The project has an ambitious aim to demonstrate how physical principles from a new understanding of the coupling between viscous flow and elastic deformation of solids to inspire new technological developments.
The project will provide a fundamental understanding of the physical processes at play when droplets interact with soft hairy surfaces and when actively driving a soft sheet near a wall. Essential to the projects is developing a new understanding of the fluid-structure interactions, that is to say, the coupling between hair’s/sheet’s elastic deformations and the fluid flow. The project aims to develop a contactless soft robot relying on these operating principles (guided by our physical understanding of the processes) and using hairy surfaces for flow control. The projects requires detailed measurements of the dynamic soft elastic interface and the fluid flow, as well as theoretical and numerical developments. The project provides opportunities to collaborate with both national and international collaborators, as well as exploring sustainability aspects of the technology.
The PhD student will:
- Develop experiments and/or numerical simulations of (droplet) flow coupled with elastic deformations.
- Be directly involved in integrating experiments and theoretical prediction.
- Develop independence and be self-driven to advance with their research project.
- Work in an interdisciplinary team with expertise in mechanics, complex fluids, physics and biophysics and sustainability thinking.
- Follow our PhD program that include an educational component.
Deadline : 10th February 2026
(29) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in fungal biology/ecology
The candidate will be part of Oslo Mycology Group (OMG), a vigorous research group including around 15 people focusing mainly on fungal ecology and evolution. To study fungi, we often combine field work with DNA-based laboratory methods and bioinformatics.
Most land plants form mycorrhizal symbiosis with various fungi in their roots, where the associated fungi provide the host plant with an increased uptake of nutrients and water from the soil. The mycelium of mycorrhizal fungi extends from the plant roots into the soil and can form extensive belowground individuals (genets). In forests, the mycelium of one genet can connect two or more trees, even of different plant species, which is then termed a common mycorrhizal network (CMN).
The core of the PhD project is to conduct spatiotemporal analyses and mapping of common mycorrhizal networks (CMNs) formed by various mycorrhizal fungi in forest ecosystems. To this end, various sample types – soil, fungal fruit bodies, and plant roots – will be collected in a long-term monitoring plot in a forest near Oslo. The samples will be analyzed using high-throughput DNA sequencing, including DNA metabarcoding and population genetics/genomics. During the project, we may also establish pilot experiments addressing the functionality of CMNs.
Deadline : 1st March 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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