Postdoctoral Fellowship (26) at University of Copenhagen, Denmark

A postdoctoral position is a fixed-term academic position. The position is heavily weighted in favour of research. Other duties (e.g., research administration and teaching) may have to be performed to a limited extent.

The Postdoc will collaborate closely with Associate Professor Mathias Wullum Nielsen and Assistant Professor Andrew C. Herman on the project Global North-South disparities in science. Using large-scale data, survey-experiments, quantitative and computational approaches, the project aims to identify and test mechanisms driving North-South disparities in science across three domains: (1) power dynamics in international research collaborations, (2) impacts of researcher migration on Global South research capacity, and (3) and disparities in the uptake of scientific knowledge from different global regions.

The position will be especially relevant for researchers interested in combining computational social-science methods with research on power-relations, inequality, and knowledge production in the global scientific enterprise. The selected candidate will be part of a small research team that meets weekly to discuss project related research. They will be expected to contribute substantially to the group’s publications and dissemination activities, both as first author and as co-author.

We are seeking to recruit a postdoc within Human-Computer Interaction to work on an interdisciplinary project on Human-Centered Explainable Retrieval-Augmented LLMs funded by Independent Research Foundation Denmark, led by Isabelle Augenstein and Irina Shklovski. The postdoc’s duties will be to conduct research on user-centric RAG and information needs of people interacting with AI in collaboration with the project team. In addition to the PIs and the postdoc, the team also includes a PhD student as well as external collaborators, including in information retrieval.                                         

The Copenhagen Center for Social Data Science (SODAS), Faculty of Social Sciences, University of Copenhagen (UCPH), invites candidates for a postdoctoral position in modeling and simulation of school choice and admissions systems. Preferred starting date is 1 July 2026, but an earlier start may be possible by agreement.

The position is for two years (full-time). The position is part of the project “Implementation and perception in school choice”, read more about the project here. As part of the project, the succesful candidate will work closely with project members, including Christopher Neilson from Yale Uni., Mikkel Gandil from Rockwool Foundation and Hessel Oosterbeek from Uni. of Amsterdam as well as Christian Fogel Henneberg who is a PhD student on the project.

The Department of Computer Science invites applicants for 24 month (with possibility for extension) postdoctoral fellowships in (i) Multi-Modal Representation Learning for Design of Sustainable Food Processing, and (ii) quantum and tensor network algorithms. The projects are distinct, and specific expertise is only expected in one of the two topics.

The Department of Food and Resource Economics (IFRO) at the University of Copenhagen invites applications for a 2-year postdoc position in the area of artificial intelligence (AI) and law. The postdoc will be placed in the Section for Consumption, Bioethics and Governance.

The position is funded through the TrustMind project funded by the Lundbeck Foundation (https://lundbeckfonden.com/news/120-million-dkk-interdisciplinary-brain-research/melanie-ganz-benjaminsen). The project aims to develop an AI algorithm for mental health screening, specifically targeting Major Depressive Disorder (MDD). A key component of the project is to integrate ethical and legal considerations in algorithm assessment. In collaboration with a multidisciplinary group of researchers the candidate will examine the requirements of the EU Artificial Intelligence Regulation (AIA) and provide strategies for developing compliant healthcare algorithms while drawing attention to challenges regarding implementation. The postdoc will focus on analysis of the AIA’s requirements relating to transparency and fairness when developing and deploying algorithms for depression risk assessments. In addition, the postdoc will compare AI Act requirements with EU ethics guidelines in collaboration with the ethics postdoc in the project.

The Department of Food and Resource Economics (IFRO) at the University of Copenhagen invites applications for a 2,5-year postdoc position in the area of artificial intelligence (AI) and ethics. The postdoc will be placed in the Section for Consumption, Bioethics and Governance.

The position is funded through the TrustMind project funded by the Lundbeck Foundation, https://lundbeckfonden.com/news/120-million-dkk-interdisciplinary-brain-research/melanie-ganz-benjaminsen The project aims to develop an AI algorithm for mental health screening, specifically targeting Major Depressive Disorder (MDD). A key component of the project is to integrate ethical and legal considerations in algorithm assessment. In collaboration with a multidisciplinary group of researchers the candidate will provide an ethical assessment of the AI algorithm developed in the project in light of the four general principles of trustworthy AI rooted in fundamental rights outlined in the EU ethics guidelines for trustworthy AI: (1) Respect for human autonomy, (2) Prevention of harm, (3) Fairness, and (4) Explicability. In addition, the postdoc will compare AI Act requirements with EU ethics guidelines in collaboration with the legal scholars in the project.

The postdoc will be working on a theoretical framework for implementing quantum gates through electron scattering in molecules. The approach draws inspiration from molecular electronics, where a molecule is connected between electrodes. Here, the goal is to investigate whether such a setup can serve as a platform for building quantum gates. To delveop the theoretical framework, the postdoc will employ the Landauer formula, commonly applied in molecular electronics, and standard scattering theory.

You will work at the Copenhagen Health Complexity Center, embedded in the Algorithmic Fairness in Diabetes Prediction (ALFADIAB) research program, which is a 5-year project (2023-2028) funded by the Novo Nordisk Foundation. The vision of ALFADIAB is a society where access to healthcare and quality of care do not depend on ethnicity, race, sex, or wealth. In this research program, we are investigating whether established risk prediction models, that are used to forecast which individuals are at high risk of cardiometabolic diseases, are underperforming for minorities and those with lower socioeconomic status. Using Danish registry-based data on millions of people and various external datasets, we are assessing inequalities in cardiometabolic disease prediction, management, and care, and aiming to deploy AI techniques to develop improved predictive models that are equitable and perform equally well between subgroups.

We are looking for a highly motivated and dynamic Postdoctoral fellow with a PhD or equivalent degree to join the Merino Group at the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), University of Copenhagen. The position is for three years, starting 1 March 2026, or after agreement.

The successful candidate will work on research projects at the interface of bioinformatics, artificial intelligence, and systems biology, with a focus on single-cell genomics and other omics layers to understand early deviations in cardiometabolic diseases. Candidates should have a strong background in bioinformatics, machine learning, single-cell omics, statistics, or genomic medicine, and a keen interest in obesity, diabetes, and cardiovascular disease.

Our group works in the broad area of proteomics, genomics, epigenetics, and cell signaling. In this project, we are interested in understanding epigenetic mechanisms of gene regulation, with special focus to understand the mechanisms of gene activation by cis-regulatory enhancers. The project will use quantitative proteomics and genomics to further understand the role of acetylation and other chromatin modifications in gene regulation. The project will combine CRISPR-based genome editing with NGS-based approaches (i.e. RNA-seq, ChIP-seq, ATAC-seq) and cell biological approaches to uncover new regulatory pathways and decipher underlying mechanisms.

Postdoc candidate(s) with experience in wet laboratory work will perform wet laboratory experiments involving cultured mammalian cells, creating CRISPR engineered cell lines, generating NGS data, including high-quality ChIP-seq data. The candidates with experience in both wet lab and bioinformatics will be able to do both (i.e. work in the wet lab and perform bioinformatics analyses).

The two positions form part of the research project “Modelling African Futures: A comparative technography of evidence-based welfare policy in Ghana, Senegal, Kenya and Botswana” (ModelFutures) funded by a European Research Council Starting Grant. ModelFutures is located at the intersection of African Studies, anthropology, STS, and population statistics. The project undertakes comparative ethnographic research at the nexus of four African statistical and welfare systems – Ghana, Senegal, Kenya and Botswana – where the design, production and application of innovations in population statistics participate in shaping the future of public welfare. The aim of the project is to connect statistical innovation and anticipatory welfare politics in contexts of major demographic transitions. Postdoc 1 will carry out the project’s case study of Senegal, Postdoc 2 will carry out the case study of Kenya.

Funding for two postdoctoral researcher positions working on the use of AI in medicine is available. The positions are focused on various aspects of cancer treatment, including AI-assisted diagnosis, treatment planning, and outcome prediction. Depending on the applicant’s qualifications, they may work on medical image analysis, clinical report analysis, or theoretical aspects of AI in medicine. The researchers are expected to work in close collaboration with the Department of Radiation Oncology and the Department of Radiology at Rigshospitalet. This project, led by Associate Professor Bulat Ibragimov.

This project is large in scale, offering considerable flexibility for each PhD to follow the track they prefer. These tracks include: a) Analysis of pre-RT medical images – Annotating patient organs, tumors, and anatomically relevant regions to measure radiation delivery and dose distribution across different areas; b) Analysis of dose delivery plans – Examining longitudinal RT treatments where radiation is delivered over multiple sessions; c) Analysis of clinical features – Investigating patient data as structured variables or processing clinical reports using NLP algorithms to assess their role in RT outcomes; d) Theoretical machine learning development – Designing new AI algorithms with broad applications, potentially extending beyond medicine. Our work includes explainable AI, AI in robotics, and geometrical modelling; e) Eye-tracking in cancer treatment planning – Exploring whether eye-tracking technology can serve as an optimal communication interface between physicians and computers during medical image annotation and treatment planning.

One Post-doctoral position is available as part of the DFF Sapere Aude-funded project “PRIMORDIAL: Charting Cosmic Dawn from primordial matter to the formation of stars in galaxies” in Assistant Professor Kasper Heintz’ group at DAWN/NBI to work on observational projects on star and galaxy formation in the early Universe with cutting-edge data from JWST and ALMA. Applicants with interests and experience in any of galaxy formation, Lyman-alpha absorption, ISM/CGM evolution at high redshifts, JWST NIRSpec spectroscopy, ALMA spectral data, and statistical inference are strongly encouraged to apply.

One postdoctoral position is available as part of the ERC-funded project: “HEAVYMETAL: Nuclear and astrophysical origin of the heavy elements” in Professor Darach Watson’s group at DAWN/NBI to work on observations and/or radiative transfer of neutron star merger ejecta (i.e. kilonovae). Applicants with interests and experience in any of astrophysical transients, spectroscopic data analysis, and radiative-transfer modeling are strongly encouraged to apply.

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoc position in skin mechanobiology at reNEW, Faculty of Health and Medical Sciences, University of Copenhagen

Deadline : 14 December 2025

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You will lead the analysis of a large-scale mass spectrometry-based proteomics dataset derived from archival FFPE-preserved cardiac tissue samples from a well-characterized patient cohort. Your work will focus on identifying molecular profiles associated with distinct cardiac disease presentations.

In addition to proteomics data, you will have access to clinical metadata for integrative analysis and histological images (HE-stained sections) from the same heart samples, enabling exploration of AI-driven image analysis approaches.

The LEXPLAIN project aims to research the explainability requirements for legal decisions and how AI technologies can fulfill such requirements when used for legal decision-making.

The XHAILE project aims to provide efficient and accurate hybrid AI technologies for computational law and natural language interaction with e-government solutions along with trustworthy benchmarks and guidelines for legal use of the technology.

The successful candidate is expected to conduct research in the different types of AI, including Generative, Symbolic and Neuro-symbolic AI for computational law and legal decision-making and to contribute with knowledge on these topics to the inter-disciplinary work in the project group.

The research will partly explore the combination of generative AI with the research in symbolic AI and logic for computational law carried out by the PI and his research groups, centred around the development of a graph-based modelling language, DCR Graphs, for the declarative modelling of law and business processes. The DCR Graphs language is today used widely and successfully in the public sector.

We are seeking an enthusiastic and highly motivated postdoctoral researcher to join our team to discover, characterize, and validate novel modulators of AMP-activated protein kinase (AMPK) for potential therapeutic applications. AMPK is a central regulator of cellular and whole-body energy homeostasis, and pharmacological modulation of AMPK has significant promise in the treatment of metabolic diseases, obesity, and related cardiometabolic disorders. The successful candidate will be embedded in an interdisciplinary research environment with expertise spanning protein kinase signaling, computational chemistry, bioinformatics, pharmacology, and molecular and cellular biology. The project aims to identify novel small-molecule, metabolite, or peptide-based AMPK modulators and to elucidate their mechanisms of action using state-of-the-art computational and experimental approaches.

The successful candidate will be hosted by Kathrin Rousk and will focus on understudied plants, mosses, and their associations with microbes. The project is funded by a Villum Experiment grant.

The goals are to (1) characterise moss-cyanobacteria symbioses and their N2 fixation activity on mosses to beneficial vs. detrimental effects on both partners,  (2) To assess if moss-cyanobacteria symbioses can switch between beneficial and parasitic interactions when the environment changes, and (3) assess if Sphagnum-moss-associated cyanobacteria show reduced genome size and cannot survive without the moss host.

More than 60% of marine animals display bioluminescence, testifying to its biological importance. Nevertheless, both the function and the fundamental biochemistry of this trait remain largely obscure. Many unrelated marine species use the compound coelenterazine (a luciferin) to produce light via enzymes, known as luciferases. Despite being recognized as a luciferin since the 1970s and being used in several commercially important luciferase systems, essentially nothing is known about the biosynthesis of coelenterazine or its cellular metabolism in any species.

We are interested in understanding bioluminescence using the comb jelly Mnemiopsis leidyi (also known as the sea walnut) as a model organism. This animal is highly abundant in Danish waters, strongly luminescent, and is known to produce coelenterazine for light emission. The project, supported by the Independent Research Fund Denmark, will fund three postdocs working as a team on different aspects of bioluminescence in Mnemiopsis. Besides the biochemist we seek here, the team will include a marine cell biologist/physiologist at the Department of Biology, UCPH, and a molecular ecologist/biological oceanographer at the National Institute of Aquatic Resources, DTU, who will investigate environmental and evolutionary aspects.

We are looking for a highly motivated and enthusiastic postdoc to join Lene Juel Rasmussen group. The position is for 11 months with a start date of February 1st, 2026 or as soon as possible thereafter.

The candidate will join the Molecular Aging Program within the Department of Cellular and Molecular Medicine (ICMM) to investigate the connections between mitochondrial dysfunction and oxidative stress in aging and longevity, with a particular emphasis on cardio metabolism.

This ERC-funded project explores how visible light could have driven key chemical transformations relevant to the origins of life. While ultraviolet light has long been the focus of prebiotic photochemistry, this project shifts attention to visible light, as a milder and more abundant energy source on early Earth, and investigates its ability to drive catalytic reaction cycles in aqueous solution. The central objective is to discover and characterize photoredox catalytic systems, focusing on redox reactions and simple oligomerizations. By leveraging the properties of small molecule photocatalysts, the research will develop models of prebiotic chemistry that are both chemically and geochemically plausible.

The postdoc will join a vibrant and growing team at the University of Copenhagen and will be involved in close collaboration with PhD students and MSc/BSc students pursuing interconnected projects, providing an opportunity for the postdoc to develop research leadership skills.

We are seeking highly motivated and enthusiastic postdocs with backgrounds in data science, protein design, biochemistry, mass spectrometry, cell biology, molecular biology, or related fields. The successful candidates will join a vibrant, interdisciplinary research environment and work on projects centered around:

• Apply cutting-edge mass spectrometry–based proteomics to uncover dynamic protein changes and post-translational modifications in cellular signaling.
• Define key alterations in proteins and glycans and map how membrane dynamics and glycan–protein interactions reshape cellular networks.
• Link structure to function by dissecting how protein and glycan assemblies drive signaling and cell communication.
• Develop precision tools to selectively target disease-relevant assemblies, opening new therapeutic opportunities in cancer, chronic inflammation, and neurodegeneration.