Postdoctoral Fellowship (18) at University of Copenhagen, Denmark

The successful candidate will be able to choose one of two projects, depending on their personal interests and skillsets: either (1) investigating how cells recognize and repair DNA damage in mitosis; or (2) CRISPR screening approaches to define how RecQ helicases maintain genome stability to limit premature aging and cancer development.

These projects will benefit from access to cutting-edge mass spectrometry, imaging, screening and computational biology infrastructure at the Center for Chromosome Stability and Department of Cellular and Molecular Medicine. Collaborations are in place locally to access additional facilities and techniques including state-of-the-art optical tweezers, super-resolution microscopy and cryo-electron microscopy.

The research position is situated at the Danish National Research Foundation’s Center of Excellence for Global Mobility Law, MOBILE. We seek a strong candidate with research interest and/or experience in the interplay between law and politics in the adoption, implementation and enforcement of European mobility law. Mobility law refers to the body of legal rules and practices governing cross-border human movement, including how people may enter, reside, move, and work across states. It spans different legal domains and issue0free movement, migration, transnational labour and human rights frameworks. The position deals with the part of MOBILE’s research, which analyses the legal and political processes through which regional infrastructures for transborder human mobility are shaped and subsequently implemented, enforced and contested in practice. Applicants are expected to take part in interdisciplinary research, which empirically examines the development, implementation and contestation of European immigration and free movement law, including their interplay with other national and international legal regimes and regional mobility systems in other regions.

The position is connected to an external grant from the Danish National Research Foundation to establish the Center of Excellence for Global Mobility Law (MOBILE). A core task of MOBILE is to examine how regional mobility regimes – in particular free movement regimes – are applied in practice, empirically covering three regions (EU, ECOWAS and MERCOSUR). As such, the postdoc will be expected to work in a cross-regional and interdisciplinary team, pursuing mixed-methods approaches combining legal desk research, qualitative methods and quantitative data analysis. Within this broader ambit, the candidate will be expected to focus on empirical legal analysis of e.g. judgments, including hand coding and statistical analysis. During the second half of the employment period, the candidate will further be expected to test the generalisability of findings through comparative studies with other regions of free movement.

We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded by NordForsk, led by Professors Irina Shklovski and Laura Watts. The researcher’s duties will be to manage and conduct in-depth qualitative research that explores how organisational actors, such as companies and regulators, understand and sociotechnically construct ‘data quality’ in energy systems, both now and in the green transition future. The postdoc should, ideally, have experience of critical data studies and both qualitative (e.g. interviews or ethnographic methods) and quantitative data analysis. This postdoc is an opportunity to collaborate in an international Nordic project with external partners across science and technology studies, political sociology, computer science, and engineering.

Green Mandate is a new research-praxis project that aims to strengthen the capacity of Danish society to implement the ‘Aftale om et Grønt Danmark’ (from now on ‘the Green Tripartite’), while mitigating public contestation and backlash. The project will achieve this through interdisciplinary and multi-method research clarifying the social mandate for transformational change to Danish landscapes and the experience of land use transitions at the local level. In so doing, the project aims to create a foundation for informed democratic debate and empowers decision-makers and stakeholders to effectively take citizen attitudes and engagement into account. Realising these aims promises to benefit the climate, environment, citizens, and the agrifood sector alike.

The project will establish an integrated monitoring platform, combining national and local surveys with systematic media analysis and local qualitative data to provide on-going knowledge on the public’s support and contestation around agreement’s implementation. The project team will map how citizens relate to key aspects of the relationship between the Green Tripartite and the citizenry such as land-use reforms, recreational nature use, agricultural changes, fairness perceptions, future expectations and perceptions of trust and accountability in the process, tracking how responses evolve across regions, social groups, and implementation phases. The project has a strong focus collaboration with key decision makers and sectoral stakeholders in the Green Tripartite process.

A 2.5-year post-doctoral position is available in the Brodersen laboratory to work on the interplay between N6-methyladenosine, its cognate cytoplasmic RNA binding proteins and other RNA-binding proteins targeting m6A-containing mRNAs.

The project uses Arabidopsis as model for advanced genetic and molecular studies, but investigates the relevant RNA binding proteins in a variety of perennial plants in temperate climate zones with an eye towards understanding key aspects of the seasonal growth-dormancy cycle. Many samples required for the project have been collected in field seasons preceding this job opening.
In addition to your own hands-on research duties, undergraduate student supervision connected to your research topic may be part of the duties. The project is part of an interdisciplinary collaboration involving groups specialized in tree phenology and genetics and protein biophysics.

The successful candidate should have rigorous training in molecular biology and genetics, typically obtained by work on classical model organisms in molecular biology, but also have a genuine interest understanding plant growth properties as they can be observed in nature.

The Novo Nordisk Foundation Quantum Computing Program (NQCP) is building a talented and diverse international team to create a cutting-edge program in the heart of Copenhagen, Denmark. At the Niels Bohr Institute, University of Copenhagen, where the formulation of Quantum Mechanics was born 100 years ago, the ambition is to build a mission-driven full-stack approach which will involve exciting innovations at every level, from the quantum processor to the quantum-classical interface all the way quantum algorithms and applications.  The vision of the programme is to enable the development of fault-tolerant quantum computing hardware and quantum algorithms that solve important problems in the life-sciences.

The Analytical Chemistry Group invites applications for at least two 3-year postdoctoral positions at the frontier of chromatography–mass spectrometry and analytical data science for targeted, suspect, and non-target analysis of contaminants of emerging concern (CECs).

The positions contribute to two closely connected research directions: chemical fingerprinting of micropollutants in wastewater, sludge, and advanced treatment systems to support hybrid AI–mechanistic models for predicting contaminant fate and removal, and large-scale profiling of the human urinary exposome to uncover chemical exposure signatures associated with Parkinson’s disease. Together, these projects aim to move non-target screening toward scalable, AI-assisted chemical intelligence operating across large environmental and biological datasets.

The work is grounded in separation science, including LC (online-SPE-LC), GC×GC, and SFC coupled to high-resolution MS platforms (Orbitrap, QqTOF, TOF), and integrates next-generation data science approaches for automated peak detection, spectral interpretation, compound prioritization, exposure-outcome correlation and predictive modeling.

Two complementary research tracks are envisioned. One will emphasize experimental expertise in chromatographic–mass spectrometric method development, including multidimensional separations, challenging liquid matrices such as urine or solid matrices such as sludge, quantitative targeted workflows, and large-scale non-target screening with rigorous validation and benchmarking. The other will address analytical data science problems, from scalable signal processing to automated identification frameworks and pattern recognition. The candidates may primarily focus on either; however, applicants who can bridge advanced experimental separation science and AI-driven data analysis are particularly encouraged, as such profiles are central to the long-term vision of the group.

Postdoctoral position 1 will particularly focus on eddy covariance and auto chamber measurements of CO2 and other GHGs.

Main tasks include:

• Establish and maintain two new eddy covariance stations and calculate/analyze the CO2 and CH4 fluxes, including footprint and wind sector analysis.
• At one station, also calculate and analyze fluxes of CO2, CH4, and N2O from six automatic chamber measurements.
• Use the information on CO2, CH4, and N2O flux measurements to calculate the GHG budgets at the two sites and impacts of land use change.
• Participate in reviewing and synthesizing existing literature and datasets on the climate impacts of afforestation on agricultural land, including carbon, forest structure, tree species composition, biodiversity considerations, and management practices influence climate forcing and ecosystem services.
• Participate in the integration of individual climate drivers into a compound assessment of total climate impact, identifying trade-offs, synergies, and key knowledge gaps and contributing to the development of practical guidelines and policy-relevant recommendations for climate-smart afforestation in Denmark and Europe.

The work will involve field work and data analysis and extensive interaction with an interdisciplinary team of forest scientists, atmospheric scientists, and climate modelers.

Active and living matter exhibit rich spatiotemporal behaviors, including pattern formation and collective motion. This project will develop computational and theoretical models of such systems, with applications across active-matter physics and biological tissues. Depending on background and interest, the postdoc may work on problems involving active flows, topological defects, geometry-dependent dynamics, or large-scale numerical simulations of physical or biological systems.

We are looking for a highly motivated and dynamic post doc for a 1.5-year position. As post doc you will investigate the signalling pathways driving the headache phenotype in a rodent model of idiopathic intracranial hypertension. The position will start on the 1st of August 2026, and the job is in the Kaag Rasmussen lab at Center for Translational Neuromedicine, Copenhagen, Denmark.

Center for Translational Neuromedicine focuses on developing new approaches for examining and treating neurological diseases, primarily using the tools of physiology and imaging coupled with cell and gene therapy. Our emphasis is on using these technologies to enable neural and glial cell replacement in the adult brain and spinal cord, as a means of both disease modelling and therapeutic repair.

We are seeking an enthusiastic post-doctoral candidate with a strong background in stem cell biology and tissue culture expertise. The candidate responsibilities will include establishing primary urothelial cell lines, define protocol for the stem cell self-renewal maintenance, expansion and differentiation of in vitro epithelial culture in 2D and 3D from tissue-specific human stem cells, generating and analyzing large -omics and imaging datasets.  Collaboration with researchers within the group and the center, as well as external collaborators, will also be essential to drive the project forward effectively. The candidate is expected to integrate into and adhere to the group’s daily operational routines, including shared responsibilities, scheduling practices, and collaborative workflows.

Department of Plant and Environmental Sciences, Section of Environmental Chemistry and Physics invites applicants for a postdoc on novel photocatalytic biochar for PFAS destruction. Start date is 1 May, 2026 or as soon as possible thereafter and the position has a duration of 24 Months.

We are seeking a highly motivated postdoctoral researcher to join a high-impact research initiative addressing one of the most pressing environmental challenges – the global “forever chemical” (PFAS) crisis. This exploratory project is funded by the Villum Experiment Programme and aims to move beyond conventional, energy-intensive separation technologies by investigating sustainable catalytic materials capable of destroying persistent PFAS compounds such as PFOA and PFOS.

The postdoctoral researcher will lead the development of an advanced biochar-based catalyst derived from waste biomass and enhanced through strategic element doping. The role will involve material synthesis, physicochemical characterization, and systematic performance evaluation in controlled and realistic water matrices, with the goal of probing mechanisms capable of breaking highly stable C–F bonds

Your main tasks will be to prepare, conduct, analyse and disseminate two randomized, controlled trials using stable isotope methodologies. One study will apply the Indicator Amino Acid Oxidation approach, and the other study is based on the whole-body protein turnover measurements. You will be in charge of – in collaboration with the project team and technicians – preparing study protocols, setting up laboratories for the human trials and conducting them as well as planning all analyses. Further, you will undertake lecturing, teaching and supervision of BSc and  MSc students relevant for your project. Through all this you will participate in the development of the department’s research portfolio in the area of dietary protein quality. The research project will be conducted in close collaboration with a project management group, and internal and external partners. A collaborative mindset is therefore essential.

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Two-year postdoc in Natural Language Processing and Representation Learning of Metaphorical Language in Large Language Models at the Centre for Language Technology

Deadline : 15 March 2026

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