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: PhD Research Fellow in Heterogeneous Catalysis
The transition from a fossil-based to a circular production of consumer goods requires the development of new chemical processes, especially for the energy-efficient and sustainable conversion of carbon-containing biomass, biogas, and CO2 into higher value products.
In this position, the candidate will contribute to the research project “ZeoCAT: Zeotype-based Catalysts to produce consumables and fuels from recycled CO2 feedstock” funded by the Research Council of Norway. The project aims to advance fundamental insight into the structure-composition-function correlations that govern the performance of heterogeneous catalysts in reactions relevant to the Cyclic Carbon Economy: CO2 hydrogenation with green hydrogen into commodity chemicals and long-term energy storage molecules. The project is focused on tandem catalysts containing active sites for both, the conversion of CO2 into C1-C2 intermediates like methanol and their subsequent coupling into larger hydrocarbon molecules.
Deadline : 1st March 2026
(02) 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 : 1st March 2026
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Heterogeneous Catalysis
The transition from a fossils-based to a circular production of consumer goods requires the development of new chemical processes, especially for the energy-efficient and sustainable conversion of carbon-containing biomass, biogas, and CO2 into higher value products. Heterogeneous catalysis is the key technology and scientific subject to enable urgently needed breakthroughs towards sustainable chemical production.
In this position, the candidate will contribute to advancing the fundamental science of catalysis by applying cutting-edge methods to industrially relevant reactions.
The candidate will:
- Conduct catalytic experiments using advanced transient methods based on mass-spectrometry and surface spectroscopy
- Develop mathematical models to interpret these data in terms of molecular reaction mechanisms
- Engage in regular internal meetings, seminars, and journal clubs
- Engage in international collaborations
- Participate in experiments at synchrotron facilities
- Present their work at international conferences
- Help with routine maintenance of experimental facilities
- Communicate scientific findings in peer-reviewed publications
Deadline : 1st March 2026
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Hydrogeology / Environmental Geoscience
The Environmental Geoscience Section at the Department of Geosciences, University of Oslo (UiO), invites applications for a PhD Research Fellow position. The position is funded by UiO and will be carried out independently by the fellow, while closely linked to ongoing research projects. The main supervisor will be Ass. Prof. Anja Sundal, with co-supervisors from UiO and Eawag/ETH (Switzerland). The overarching research theme is the effects of climate change on groundwater in cold climates.
Groundwater is an important geochemical archive of environmental change, climate variability, and human impact. In the rapidly warming Arctic, processes such as permafrost thaw, changing landscape morphology, altered infiltration patterns, are reshaping groundwater systems. These physical changes in turn drive chemical responses, for example shifts in water–rock interactions, mobilization of dissolved organic carbon and nutrients, and altered redox conditions, creating knowledge gaps about the consequences for ecosystems and carbon cycling.
The successful candidate will have the opportunity to work with existing datasets on (ground-, soil-)water chemistry and carbon in cold climate zones (e.g. permafrost regions in Finnmark) and to expand hydrogeological observations during upcoming field campaigns. Potential methods include using noble gases as natural tracers (miniRUEDI) and/or detailed carbon speciation analyses.
Research directions will be adapted to the candidate’s interests and skills and to emerging opportunities for data collection. Possible topics include:
• Regional comparative studies of climate impact on groundwater in cold climate sites (e.g. Finmark, Svalbard)
• Local-scale permafrost–groundwater interactions
• Large-scale source-to-sink investigations, including exploration of submarine groundwater discharge (POLHAVET 2050 project).
Deadline : 1st March 2026
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in 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 : 1st March 2026
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in IT-security in context of resilient and reliable systems
IT-security is a central topic of all areas of modern software and system design and will only become more important in the future. Central to secure systems is to proactively limit risks by design of resilient and reliable software and systems. This has the potential to mitigate attacks by easily adapting to potential vulnerabilities, encapsulate important data (e.g. GDPR), and/or mitigate threats based on system or information formalisations (data privacy and sovereignty).
This PhD project is part of an increased emphasis in IT-security at UiO and it will be a collaborative effort between the Software Engineering (SE), Programming Technology (PT), and Reliable Systems (PSY) research groups of the Programming (PROG) section..
The central topic of the project must be IT-security, but should in addition relate to two or more research topics of the involved research groups. The research groups are currently involved in research for software design to improve reliability, formal definitions for data privacy (GDPR), and reliable systems, in general, and the maritime sec-tor, specifically. New technologies, such as Quantum computing, can become a game changer for how security is managed in the software industry, and a project can contribute to study and improve the preparedness of the software sector. Largescale systems for international sectors (e.g. the maritime sector) must be designed with resilience against vulnerabilities in mind, and a project contribute to design and implementation of these. We have ongoing collaboration with both Norwegian and inter-national companies and organisations, for example Visma and P3KI, which can be the basis for application areas and the project direction.
Deadline : 1st March 2026
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Information Systems
The position is devoted to carrying out research focusing on digital platforms and digital ecosystems in a large organization preferably the financial sector or the health sector. Particularly, the research in the position is devoted to the role of IT architecture in enabling digital platforms and digital ecosystems. This includes but is not limited to various strategies chosen by the organization to transform silo-oriented legacy systems towards a more agile and innovation-friendly IT architecture. Computing capabilities such as artificial intelligence are also highly relevant.
Even though the doctoral candidate is expected to use a socio-technical approach, we stress that the study is particularly occupied with the role of, as well as the changes enabled by the capabilities of innovative digital technology.
The doctoral candidate will be connected to an ongoing project in a large organization that investigates, develops, and implement flexible and innovative IT architectures as a part of the platformization strategies.
For this position, we are looking for a research candidate who will:
- Use an engaged scholarship approach, which emphasizes the tight collaboration between practitioners and researchers in the development of knowledge. Qualitative methods and techniques like interviews, observations, and action research are preferred, but a mix of qualitative and quantitative may also be relevant.
- Use a socio-technical perspective on development, implementation, and use. This entails investigating the relationship between the capabilities of digital technology, and organizational and user-oriented issues.
- Strengthen the research team’s interdisciplinary approach and outcomes. The doctoral candidate will be part of a research group and is expected to share insights derived from the investigation with fellow researchers.
Deadline : 1st March 2026
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Machine Learning for Cognitive Neuroscience
We are seeking an ambitious candidate to develop Machine Learning models and frameworks for time series analysis, aimed at understanding how the human brain encodes information.
This cross-disciplinary project is a high-level collaboration between the Digital Signal Processing Group (DSB), at the Section for Machine Learning (IFI), and the Group for Cognitive Neurophysiology (Medical Faculty). The team has research links with Bradley Voytek at the Halıcıoğlu Data Science Institute (University of California San Diego, USA). By bridging experimental neurophysiology with advanced algorithmic design, we aim to significantly enhance the understanding of high-dimensional neural activity patterns.
The successful candidate will work with open available datasets obtained in rodents and unique datasets of neural activity. Your primary focus will be to design new learning frameworks and neural network architectures to advance our fundamental understanding of how the human brain forms perception and memories. In detail, you will use transformer architectures to analyze time series of local field potentials recorded in rodents and compare performance to time series of action potentials recorded in the same animals (the state of the art); apply and interpret the architecture to local field potential data recorded in humans who have seen a vast number of images from the CoCo-database (https://cocodataset.org); and apply and interpret the architecture to local field potential data recorded in humans who have seen movies.
Deadline : 1st March 2026
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in materials for Na-ion and K-ion batteries
We are seeking a PhD Research Fellow with interest in understanding, developing and characterizing battery materials. This PhD Research Fellow will be affiliated with a Centre for Environment-friendly Energy Research, FME Battery, which is an interdisciplinary collaboration between multiple actors in Norway including academia, research institutes and industry. The selected PhD Research Fellow will be involved in the work package 3 of the Centre focusing on new materials and chemistries.
The development of modern Li-ion batteries faces unprecedented challenges including improvement of energy storage capacities, decreasing costs and improving sustainability. Emerging battery chemistries (including Na-ion and K-ion batteries) operating under the same rocking chair principle as Li-ion batteries, represent a promising alternative to state-of-the-art Li-ion batteries. However, the set of materials utilized in such batteries is somewhat different from conventional materials typically used for Li-ion chemistry.
The focus of this PhD project is to study anode materials for Na-ion and K-ion batteries by employing cutting-edge operando characterization techniques. The work will include synthesis of materials, their modification and characterization mainly by X-ray based techniques. Most of the work will be performed at UiO facilities (NAFUMA), while synchrotron-based characterization is fore-seen at the ESRF facilities.
As PhD Research Fellow in FME Battery, you will be part of the Nanostructured Functional Materials group (NAFUMA) at the Department of Chemistry has excellent capabilities and expertise in synthesis, advanced characterization, and modeling. The group also specializes in structural studies by using X-ray based operando methods. The battery activities at NAFUMA have been continuously developed over the last ten years and the laboratories are equipped with the tools required for fabrication, structural and electrochemical characterization of batteries and battery materials.
Deadline :1st March 2026
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Mathematics and Fluid Mechanics
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.
Ocean waves follow complex patterns influenced by wind, currents, and the shape of the seafloor. Predicting extreme events like freak waves (unexpectedly large waves), frequency downshift (a permanent shift to lower wave frequencies) and transverse modulations remains a challenge. These phenomena are critical for offshore engineering, ship design, and coastal safety, but their occurrence is highly uncertain due to natural variability in wave conditions. Computational tools for simulating waves and quantifying such uncertainties will help scientists and engineers to accurately predict when, where and how likely it is that extreme waves might occur.
The candidate will conduct research and develop computational tools for simulation and modeling of wave dynamics, and for uncertainty quantification of extreme events. The project will combine stochastic mathematical models of wave physics with advanced computational methods for uncertainty quantification, such as the multilevel Monte Carlo method. For access to experimental data to validate mathematical models for wave motion, it will be natural to interact with ongoing experimental activities carried out in the Hydrodynamical Laboratory at the Department of Mathematics.
Deadline : 1st March 2026
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Materials Physics and Chemistry for Energy-Efficient Solid-State Cooling
The PhD project is part of the CoolCatch project, a research initiative aiming to develop sustainable and energy-efficient cooling technologies for cryogenic temperatures (<70 K). At such low temperatures, conventional refrigeration technologies based on gas compression become inefficient or impractical, as suitable compressible gases no longer exist and the required infrastructure becomes prohibitively complex and energy intensive. Solid-state caloric cooling represents a promising and environmentally friendly alternative. Focusing on functional oxides, the project targets conceptually new cooling concepts that can achieve the same cooling performance with up to two orders of magnitude lower energy consumption compared to state-of-the-art caloric cooling approaches. Access to this temperature regime is essential for applications including hydrogen liquefaction for future transport and energy storage, quantum technologies (such as computing and sensing), and low-temperature energy systems for space and satellite applications. The project investigates how microstructural design in polycrystalline functional oxides, such as grain size, crystallographic orientation, and strain, can be used to enhance and control the caloric cooling performance.
Deadline : 1st March 2026
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Medical Applications of Nuclear Physics
One of the research focuses of the Nuclear Physics group is the application of nuclear physics for medical applications. This includes studies of novel production pathways for medically relevant radionuclides. Such radionuclides are used for a range of current cancer procedures, where the decay radiation is used for diagnostic and/or treatment purposes. Unlike external beam therapy, which is used to irradiate a tumor in a predetermined sites in the patient, the biomolecules employed by targeted radionuclide therapy are attracted towards cancerous cells throughout the body. This enables the simultaneous treatment of unidentified, secondary malignant growths. In particular, this project is focused on emerging alpha-emitting radionuclides for targeted alpha therapy (TAT): an exciting new treatment modality for cancer. The PhD student will be part of a project to re-establish the production of the alpha emitter 211At at the Oslo Cyclotron Laboratory (OCL) at UiO.
This research topic has a clear societal impact and is part of the Norwegian Nuclear Research Centre (NNRC), which is focused on strengthening Norway’s research capacity and competence in nuclear science. This project will be conducted in collaboration with NNRC industry partners: Bayer and Norsk Medisinsk Syklotronsenter. Another important collaborator will be the University of California—Berkeley, which is an academic partner within the NNRC and a long-standing collaborator of UiO.
Deadline : 1st March 2026
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Mobile Cybersecurity
Mobile digital technologies and applications are advancing rapidly. As the amount and value of business processes based on mobile digital technologies increase, so do the amount and severity of cyber threats. Both defenders and attackers are now using Machine Learning (ML) and Artificial Intelligence (AI), therefore research is needed to investigate and design more advanced cybersecurity technologies to defend mobile networks and applications.
The successful candidate for this PhD fellowship position will contribute to research in the field of Mobile Cybersecurity. Potential areas of research include:
- Investigating Security Strengths and Weaknesses in 5G/6G/Satellite Networks
- Ethical Hacking of 5G/6G/Satellite Networks
- Investigating Security in AI/ML for Mobile
- Vehicle/Mobile Edge Ethical Hacking
- Physical-layer Radio Ethical Hacking
- Security of Software-Defined 5G/6G/Satellite Radio
The aim of the research is to investigate, develop models and solutions for Mobile Cybersecurity, including offensive and defensive methods based on ML/AI.
Deadline : 1st March 2026
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Neuromorphic Microelectronics
As a response to the power hungriness of artificial intelligence (AI) there is a growing interest from the research community in exploring near-analog biologic brain inspired solutions to reduce power consumption in neural networks.
In this project you will be involved in a collaborative effort investigating neuromorphic mixed-signal/near-analog circuits for next generation edge-AI systems. You will gain skills in custom chip design, artificial neural networks and edge-AI system implementation. The work combines circuit-level simulation, system modeling, and in-silicon hardware prototyping to evaluate approaches against performance metrics such as energy efficiency, inference accuracy and computational latency.
Deadline : 1st March 2026
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Natural Language Processing
The Language Technology Group (LTG) at the UiO Department of Informatics (IFI) is an inter-nationally recognized research environment in natural language processing. The group currently comprises five permanent faculty and around 20 doctoral and post-doctoral researchers. LTG participates in high-visibility Norwegian and European initiatives, including a national center for research excellence, two national centers for research-driven innovation, and the European flagship initiative OpenEuroLLM, on building a family of fully open and transparent large language models for the languages of Europe, as well as the Horizon Europe project High-Performance Language Technologies (HPLT). The group represents extensive experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development. Much of the work at LTG, though not all of it, is focused on the languages of Norway, Scandinavia, and Europe.
Deadline : 1st March 2026
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Pharmaceutics
This position is a part of the convergence environment PERMEATE- Peptides for Membrane Targeting and Synergistic Drug Delivery. Convergence environments are interdisciplinary research groups that will aim to solve grand challenges related to health and environment. They are funded by UiO’s interdisciplinary strategic area UiO:Life Science. The project will focus on overcoming cell membrane barriers using peptides to facilitate the targeted delivery of therapeutic molecules, leveraging a multidisciplinary approach that combines expertise from computational sciences and chemistry to pharmacy and medicine. Key research goals of the project are:
• Identify peptides to specifically target and permeate cell membranes of therapeutic relevance.
• Explore synergistic effects of peptides with small molecule therapeutics.
• Use peptides as a targeting molecule for drug delivery vehicles such as lipid nanoparticles (LNPs)
• Create experimental protocols for cancerous, healthy human and microbial model cell membranes.
• Establish predictive models for peptide-induced transport and cell membrane deformation.
• Create a training hub for young scientists to prosper in a multidisciplinary environment that connects experts ranging from theoretical modelling to biomedical applications.
Deadline : 1st March 2026
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in reinforcement learning for generative systems in physics at the INTED Center
The project will be jointly at the Center for Interdisciplinary Education (INTED), a Center for Excellence in Education at the University of Oslo, and the Center for integrative neuroplasticity (CINPLA), an interdisciplinary research group spanning physics, neuroscience and computational science. Interdisciplinary competence is needed to address the world’s wicked problems, for breakthroughs in science and innovation, and to prepare students for tomorrows work-life. INTED’s ambition is to become an international hub for the research-based integration of interdisciplinary competence in education. CINPLA addresses learning and representation in natural and artificial intelligence systems in concert.
Artificial intelligence has become a technology of great importance to science and education and is interdisciplinary in its nature. INTED has established a research activity applying AI methods to understand interdisciplinary learning processes. However, we currently need a more fundamental understanding of AI methods, and the representations developed in them as a foundation for this research activity. In this project, you will develop fundamental machine learning methods and apply them in an interdisciplinary research environment spanning physics, neuroscience and computational science. You will be expected to participate both in the activities of the Center for integrative neuroplasticity (CINPLA) and in the INTED center.
This PhD project will focus on reinforcement learning methods for generating complex structures with two possible application areas (i) the generation of virus capsids for gene therapy and (ii) the generation of meta-material structures. The project will involve both physics-based forward modeling of protein or metamaterial structures, the development of effective architecture for machine learning classification of the structures, and reinforcement learning methods for optimizing the structures for particular applications. An underlying motivation is to understand the internal representations developed by the machine learning methods in these applications.
Deadline : 1st March 2026
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Plant Molecular Biology
The PhD will be hired on the project “Tuning heat-shock memory in plants” funded by the University of Oslo, which is a collaboration between two projects: The REPEAT project (“The functional and evolutionary importance of simple repeats in the genome”), led by Professor Kjetill S Jakobsen and Professor Melinka Butenko, and HotSpot (“Stress-induced mutations in evolution”), which is a recently funded NFR project led by William Reinar.
The PhD project will investigate molecular mechanisms that regulate heat stress memory, which is a vital mechanism for plant resilience. The aim is to understand the role of naturally occurring short tandem repeat polymorphisms in regulatory regions of heat stress memory genes, and the candidate will apply both wet lab molecular biology, genome editing, trait phenotyping, imaging/microscopy, and computational methods to meet this aim.
The project aims to advance the mechanistic understanding of heat stress memory and provide a framework for targeted tuning of this mechanism. The project provides an excellent opportunity for the candidate to conduct high-impact research facilitating pursual of further academic and/or commercial ambitions within plant sciences after project completion.
Deadline : 15th March 2026
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Science Education
The project starting point is that successful education is co-created by students and staff. The project will therefore identify challenges, explore solutions, and co-create interventions in collaboration with students and staff in order to support students’ well-being, motivation, and learning. The successful candidate will be expected to engage in all of these activities. In collaboration with the science education research groups at the faculty, the candidate will gather and analyse data to explore student and staff experiences, focusing on practices that support learning. Examples include academic “nudging” techniques, collaborative practices, and use of AI as a resource for learning. Combining co-creation and systematic education design, the project uses Educational Design Research (EDR) to systematically combine design, development and research over several cycles.
Deadline : 1st March 2026
(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Semiconductor Defects for Biological and Quantum Technologies
A PhD Research Fellowship is available at the Department of Physics, Faculty of Mathematics and Natural Sciences, 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 Research Fellow 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.
In this context, the present PhD Research Fellow will contribute to the project using semiconductor processing and quantum technology. The PhD Research Fellow will be affiliated with the Solid State Physics and Quantum Technology group with around 60 highly dedicated professors, researchers, postdoctoral Research Fellows, PhD Research Fellows, engineers, admin and master students. The research group has an excellent infrastructure, MiNaLab, covering chemical, structural, optical and electrical characterization methods, material growth, device fabrication and simulations. The student will also be affiliated with the newly formed Centre for Defects in Semiconductors for Quantum Sensing.
Deadline : 1st March 2026
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Soil Invertebrate Ecotoxicology
With a rapidly changing climate combined with increased use of pesticides, it is imperative to understand why toxicity increases with temperature. To understand the observed responses in life history traits (fecundity, age at first reproduction, growth, survival), we need to address underlying changes in energy cost and allocation, and how this varies with species and population adaptation. Metabolic rate is essentially a measure of the energetic cost of living, its function being to provide the ATP that fuels all processes within the organism. Thus, metabolic efficiency likely has a significant influence on organism fitness.
We will quantify metabolic rate as a proxy for the energetic cost of living and test how metabolic efficiency influences vulnerability to pesticide exposure. To link molecular responses to whole-organism effects, we will combine targeted physiological measurements with multi-omics (proteomics, metabolomics, lipidomics) and phenotypic end-points.
As our model system, we study springtails (Collembola), key terrestrial ectothermic invertebrates of the soil community.
This PhD project is complementary to the novel research project SoilStress, which is funded by the Research Council of Norway (project number 358314). In SoilStress, we address mechanisms underlying cumulative effects, recovery, and ecophysiological tip-ping points from multiple stressor disturbances (climate change and pollution). We will study complex questions of WHY key biological responses to multiple stressors (climatic stress and agricultural used pesticides) differ between populations, micro-climate, and climatic regions; WHY tolerance to pesticide exposure decreases with temperature stress; and IF the tipping point to disturbance by temperature and pesticides, and recovery from disturbance removal, depends on the populations phenotypic plasticity and/or genetic adaptation.
Deadline : 1st March 2026
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Several Complex Variables or Operator Algebras
We are looking for a talented student to be affiliated with one of the following research groups at the department: Several Complex Variables or Operator Algebras. The successful applicant must have research interests and background well aligned with the activity of either of these groups, and this should be described in the application. Details about the groups may be found using the following links:
- https://www.mn.uio.no/math/english/research/groups/several-complex-variables/index.html
- https://www.mn.uio.no/math/english/research/groups/operator-algebras/index.html
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
Deadline : 1st March 2026
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Solar Physics – Two to Three positions
The available positions are dedicated to the following projects:
- OESE. The project is connected to the project “Origin and Evolution of Solar Erup-tions (OESE)” funded by the Research Council of Norway. The OESE project will study solar eruptions by combining high-resolution observations from the SST on La Palma and observations from telescopes in space such as Solar Orbiter, IRIS, and the upcoming MUSE mission. The supervisors will be prof. Luc Rouppe van der Voort and Dr. Reetika Joshi.
- AEPIC. This project focuses on advancing our hybrid PIC and MHD code to enable fully adaptable and self-consistent simulations of the solar atmosphere and solar flares. Both detailed particle physics and fluid dynamics as well as intricacies of coding will be part of this challenging project. The results will be first of its kind. Supervisor will be prof. Boris Gudiksen.
- Understanding the formation of dynamic spectra. This project will combine radia-tive MHD simulations, state-of-the-art spectral synthesis, and multi-instrument observations to get crucial insight on how to interpret the rich solar observations we obtain today. It can focus on different topics, from diagnostics with the upcom-ing SOLAR-C EUVST telescope, novel methods for radiative transfer, and data sci-ence techniques to interpret very large spectral datasets. The supervisor will be prof. Tiago M. D. Pereira.
Deadline : 1st March 2026
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Research Fellow in Solid-state electrochemistry
The PhD Research Fellow is part of the project Selective Oxygen Carriers with Catalytic Function for Sustainable Ethylen: innovating Redox chemistry in methane conversion (SOCCER) dedicated to research and innovations within chemical looping oxidative coupling of methane (CL-OCM). The project is coordinated by SINTEF, with University of Oslo (UiO) as a partner.
The PhD Research Fellow will be affiliated with the Electrochemistry group at the Department of Chemistry which consists of around 25 highly dedicated professors, researchers, postdocs, PhD fellows, engineers, admin, master and exchange students. The group will relocate to the new Life Science Building by mid 2026 which offers modern research facilities. The Electrochemistry group is among the world-leading in solid-state electrochemistry and materials science of oxides for electrochemical energy conversion technologies especially 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 Fellow will investigate oxygen storage capacity, electrocatalytic activity and transport properties of complex oxides to obtain mechanistic insight into the thermodynamics, surface reactions and transport processes involved in oxidative coupling of methane.
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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