Jobs

On-going positions, various deadlines

The IT University of Copenhagen invites highly motivated individuals to apply for a PhD position starting 1 September 2026 or soon thereafter. 

We invite applicants who want to contribute to the IT University's vision of creating and sharing knowledge that is profound and leads to ground-breaking information technology and services for the benefit of humanity.

The positions are funded by the project Algebraic Hardness and Applications (AHA), which is supported by the Carlsberg Foundation. 

These positions are available for period of 3-4 years, depending on the current education level of the applicant. The starting date is negotiable, but the default would be in August-September 2026. All PhD positions in the research group are fully funded, employed positions (including travel money) that come with an internationally competitive salary.

The Department of Technology, Management and Economics (DTU Management) at DTU invites applications for a PhD student position on the topic of “machine learning for decision making under uncertainty”. This position is part of the ERC-funded DECIDE project lead by Professor David Pisinger.

You will be responsible for developing new methods for decision support in stochastic optimization, using machine learning and advanced metaheuristics. Furthermore, you should (together with the team) participate in development of solvers for stochastic optimization problems and test the methods on real-life data from the maritime industry.

As part of the PhD, you will be following advanced courses to extend your skills, implement and test algorithms, and learn to write scientific papers.

The Copenhagen Center for Social Data Science (SODAS) at the University of Copenhagen is an interdisciplinary research and teaching environment at the intersection of social science, statistics, and machine learning. SODAS conducts internationally leading research using large-scale administrative, digital trace, and textual data to address fundamental questions in the social sciences and to inform public policy.

The assistant professorship is affiliated with a newly funded research program developing transformer-based and foundation-model approaches for nation-scale administrative registry data, in close collaboration with Statistics Denmark and the Danish Data Science Lab. The project explores how sequential and representation-learning models can move beyond next-event prediction towards richer, policy-relevant signals, including heterogeneity in outcomes and treatment effects across populations.

The successful candidate will join a vibrant interdisciplinary environment with strong collaborations across the Faculty of Social Sciences, the Department of Computer Science, and external partners, and will have access to unique population-wide data infrastructures and high-performance computing resources.

Do you want to establish or further develop your career as a computer scientist in an international, research-centred technical university? Do you want to contribute to the education of new generations of computer scientists and engineers?

You may find your place as an associate professor or tenure-track assistant professor in the Software Systems Engineering Section at DTU Compute.

We advance and apply research techniques from the following areas:

• Formal methods (e.g. programming languages, formal modelling, formal verification)
• Process science (e.g. process mining, BPM)

and our research addresses challenges related to:

• Software systems, distributed systems, information systems and cyber-physical systems
• Application-specific domains (e.g. cybersecurity, healthcare, law)
• Reliability, safety, security and understandability

While we have clear focus areas, we are open and curious about exploring the full potential of the research techniques listed above, and complementary ones, across the challenges listed above and additional ones.

We invite candidates who wish to grow scientifically while contributing to and shaping our research directions. We value collaboration, intellectual curiosity, and diverse scientific perspectives, and we offer a supportive research environment.

The Center for Polariton-driven Light–Matter Interactions (POLIMA) at the Mads Clausen Institute, University of Southern Denmark (SDU) is seeking a highly motivated postdoctoral researcher for a two-year position within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). By leveraging agentic Large Language Models (LLMs), the project will develop an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as GW and Bethe–Salpeter equation (BSE) calculations. 

We are looking for applicants with a strong background in condensed matter physics and first-principles modelling, and a demonstrated ability to conduct high-quality research. The position is funded by an NNF career grant in data science and will be carried out within POLIMA’s theoretical activities. The successful candidate will work under the supervision of Assistant Professor Line Jelver.

The position is available starting 1 May 2026 or as soon as possible thereafter.

The Center for Polariton-driven Light-Matter Interactions (POLIMA) at The Mads Clausen Institute, University of Southern Denmark, is seeking a talented and highly motivated PhD student to work within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). The project will leverage Large Language Models (LLMs) as active software agents to help automate complex materials simulations. These agents will assist with setting up, executing, and optimizing electronic structure workflows, from standard ground-state Density Functional Theory (DFT) calculations to more advanced approaches for excited-state properties, such as GW and Bethe–Salpeter equation (BSE) calculations. The position is funded by an NNF career grant in data science and will be carried out within POLIMA’s theoretical activities. The successful candidate will work under the supervision of Assistant Professor Line Jelver.

The position is available starting 1 May 2026 or as soon as possible thereafter.

We invite applicants who want to contribute to the IT University's vision of creating and sharing knowledge that is profound and leads to theoretical advancements, innovative information technology and services for the benefit of humanity.  

The postdoc position is a full-time research position for a duration of 24 months. This is a broad call for candidates whose research aligns with Algorithm Design or Complexity Theory. The hired candidate is expected to closely collaborate with the members of the project and present the work resulting from this project at workshops and conferences. Teaching of advanced courses is encouraged. Travel funding is included in the position.

The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a position as Postdocoral researcher in the field of spectral (photon-counting) micro-CT imaging of breast cancer as per 1st of May 2026 or as soon as possible thereafter. The position is a fixed-term full-time position for 1 year.

This is an interdisciplinary project in spectral (photon-counting) micro-CT imaging of breast cancer combining cutting-edge imaging technology with clinical pathology to develop quantitative 3D imaging biomarkers that bridge high-resolution micro-CT and histology.

Our team includes a medical PhD student with pathology expertise who performs surgical specimen collection, tissue slicing, micro-CT scans, histological processing, and initial registration. The postdoc will lead the image processing and computational analysis efforts, developing robust methods to register, segment, and analyse spectral micro-CT data, and — where relevant — advance reconstruction and material decomposition techniques.

This position is research-intensive and offers excellent opportunities for high-impact publications and international collaboration.

The SDU Center for Energy Informatics invites applications for several PhD positions within the field of Energy Informatics. The positions are available for a three-year period, and the start date will be agreed with the successful candidates. 

The PhD positions are embedded in ongoing national and international research projects and will focus on one or more of the following themes:

• Artificial intelligence and data driven methods for energy system analysis and control
• Data-driven digital twins for energy systems, buildings, and infrastructure
• Predictive maintenance and condition monitoring of energy related assets
• Integration of heterogeneous and multimodal data sources in energy applications

The exact research topic will be defined jointly with the successful candidate, taking into account project needs, academic background, and research interests.

We invite applications from researchers to join our XR (extended reality) and Visual Computing research groups. We have 3 posts available from 1 May but there is flexibility for later start dates. The positions are initially limited to two years.

Our research is at the cutting edge of XR technology, and foundations in perception, attention, graphics and vision. As a postdoc, you would contribute to new research on intent inference from gaze, foveated rendering, and perceptual interfaces for XR. Our work is interdisciplinary, and we welcome applications from individuals who bring complementary strengths in experimental research, computational methods, and the design, implementation, and evaluation of novel XR techniques. The roles provide opportunity to contribute and collaborate at the top of the field internationally, with partners across academia and industry.

The Department of Mathematics and Computer Science at the University of Southern Denmark (Odense) invites applications for a PhD scholarship in computer science under the umbrella of the Danish Foundation Models initiative.

The proposed starting date is 1 May 2026 or soon thereafter. The appointment will be made for a term of three years at a competitive salary and will follow the PhD study programme at the Faculty of Science.

The successful candidate will contribute to the development of advanced language models and derived use cases by focusing on one or more of the following topics in their PhD project:

• Training and inference of ML models on GPU clusters.
• Method development for scalable and green AI.
• Use cases in administrative, educational, and legal domains.

Do you want to shape the digital backbone of the green energy transition by enabling grid operators, forecast providers, and aggregators to privately and securely share data and unlock its value for a decarbonized energy system? We invite you to apply for one of the two fully funded, 3-year PhD positions on privacy-preserving data sharing for future energy systems.

A core theme will be to balance privacy and utility: ensuring that shared data remains valuable for specific decision-making tasks while safeguarding sensitive information and building trust among stakeholders.

Each PhD project can approach privacy-preserving data sharing from different angles, depending on the candidate’s strengths and interests, following one or more tracks:

• Privacy-preserving data sharing mechanism: quantify privacy risks and develop privacy protection techniques, so that grid operators can safely share data while maximizing utility–privacy trade-offs.
• Data-driven decision-support tools: fuse predictive and prescriptive analytics, so that forecast providers and aggregators can maximize the value extracted from privacy-preserving raw data.
• Data economics and incentives design: quantify the value of high-quality data and the cost of privacy across specific decision-making pipelines, and incentivize stakeholders to share secure, high-quality data.

If your background is in machine learning (ML) and you have a desire to make discoveries in health sciences, then this position as Postdoc is your possibility.

In this collaboration with Bioneer, DTU Bioengineering, DTU Health Tech, and KU, DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells for screening purposes and cell-based therapies. We will develop methods for modelling missing not at random (MNAR) observations and quantifying uncertainty using Bayesian methods and deep learning architectures to improve and optimize stem cell differentiation and manufacturing.

As our new colleague you will be part of a diverse and multi-disciplinary team, which is engaged in machine learning and has a drive to make novel discoveries for the benefit of the human health. 

The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a postdoc position in the field of medical physics, within the topic image-based analysis of neurovascular and neurocognitive changes after radiotherapy of childhood brain tumours, as per May 1, 2026 or as soon as possible thereafter (after agreement). The working place for the postdoc will be the Danish Centre for Particle Therapy (DCPT) at Aarhus University Hospital. The position is a fixed-term full-time position, for two years.  

The research project of this postdoc will be based on follow-up data from a cohort of survivors after radiotherapy of childhood brain tumours. The project will examine with which frequency and at what degree neurovascular changes develop after treatment. The survivors will undergo a clinical examination, they will complete several questionnaires regarding key parameters in quality of life, they will undergo psychoneurological (cognitive) testing, they will be subject to MRI scans with vascular sequences and finally serological markers linked to neurovascular function from blood samples will be analysed. Two clinical (pediatric/radiation oncology) PhD projects closely connected with the present medical physics postdoc position are currently starting. The role of the postdoc will be to study radiation treatment plans in relation to substructures in the brain, to build models to better understand the relation between radiation doses and neurovascular effects and to develop proton therapy planning strategies to mitigate these effects.  The project will be performed in a close multidisciplinary teamwork of pediatric oncologists, radiation oncologists, medical physicists, neuropsychologists, neurovascular radiologists, neurologists and radiobiologists.

The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of Physical Artificial Intelligence and its integration with wireless communication and sensing as per May 1, 2026, or as soon as possible thereafter. The position is available for a period of 18 months.
How will the physical AI evolve being exposed to data from various sensors and radio signals? This is the main underlying theme to be explored within this postdoctoral position.

The Centre for Software Technology (CST), part of Maersk McKinney Moller Institute in the Faculty of Engineering at the University of Southern Denmark (SDU), invites applications for a 3-year PhD position. The position is open from May1 2026 or as soon as possible thereafter, and the specific start date will be agreed with the successful candidate.

In recent years, there is a need for studying and using sustainable AI methods to head towards a green transition. This is particularly important for environmental initiatives to achieve the targeted 2050 climate neutral goals of the EU as well as the United Nations Sustainable Development Goals (UN SDGs). These initiatives are in line with Denmark’s ambitious 2045 climate neutrality target as well. Promising research directions in the initiatives include investigating sustainable machine learning approaches and addressing renewable energy related projects. Likewise, deploying a novel paradigm of KGML (knowledge guided machine learning) can propel further research.  

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.

The IT University of Copenhagen invites highly motivated individuals to apply for a PhD or Postdoc position starting 1 September 2026 or soon thereafter. 

LMLM proposes to build Linguistically Motivated Language Models (LMs). This involves adapting both the training regime and the LM architecture to incorporate different linguistic levels. The hypothesis is that this will lead to mitigation of shortcut learning and, in turn, more reliable LMs. The project will start on the lower levels, investigating how internal structures of words can be used in LMs, followed by words and the syntax level. There will be a strong focus on evaluation, incorporating both standard metrics and benchmarks as well as linguistically oriented and compositionality benchmarks.

Applicants are invited for a double degree PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position is available from 01 September 2026 or later. 

Note that this is a double degree PhD project. Therefore, the employment will be at Aarhus University, but the place of work will be split equally between Aarhus University, Denmark, and Université Libre Bruxelles, Belgium.

This PhD aim to advance novel techniques to scale and simplify data-driven impact assessment processes making them intuitive, powerful, and accessible to end users, by leveraging large language models (LLMs). LLMs are pre-trained on broad data and can be adapted to diverse tasks, from question answering, and summarization, to data wrangling. More specifically, the aim is to provide users with a single-entry point where they define and structure express assessment tasks in a natural way (e.g., text) and interact with data lakes to perform such tasks.

Applicants are invited for a double degree PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position is available from 01 September 2026 or later. 

Note this is a double degree project. Therefore, the employment will be at INRAE, Clermont Ferrand, France, but at least one year must be spent at Aarhus University, Denmark.

This PhD aim at advancing a fleet of autonomous robots for arable farming. Work is underway to enable the management and supervision of a fleet at the scale of a site (i.e. a farm). This PhD proposes to set up a sharing of robots in an agricultural equipment-sharing cooperative. It will then be a question of managing a fleet of robots which will be maintained (maintenance, repairs...), configured (installation, change, of tools for agricultural tasks), and stored in a warehouse, before being deployed to work on several sites. 

Applicants are invited for a double degree PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position is available from 01 September 2026 or later.

Note that this is a double degree PhD project. Therefore the employment will be at Aarhus University, but the place of work will be split equally between Aarhus University, Denmark, and Clermont Auverge University, France.

Wireless communication systems are being used in many applications, as they offer a flexible solution for maintaining connectivity between connected devices. This PhD focus on the use of wireless communications in agricultural mobile robots in Precision Farming. The PhD will also tackle the issue of real-time monitoring of the state of the network to explain the quality of data the operator receives. 

We are looking for a motivated, ambitious PhD student to join the Cryptography Group in the Cybersecurity Engineering Section at DTU Compute (Copenhagen region, Denmark).

This 3-year PhD position (starting on 1 September 2026) will focus on secure Multi-Party Computation and Zero-Knowledge Proofs.

You’ll join a growing, collaborative team of cryptographers at DTU, and you’ll get the chance to connect and work with leading researchers in the Copenhagen region and abroad. 

The focus of the PhD project is on advancing the theory and practice of secure Multi-Party Computation (MPC) and Zero-Knowledge (ZK) Proofs. The successful candidate will investigate the formal design and security analysis of MPC protocols and ZK proofs, with a particular emphasis on foundational aspects. The project will also explore efficiency and post-quantum security, aiming to bridge theoretical advances with their relevance to practical applications.

The Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU) invites applicants for several positions as Assistant Professor in University Science Education Research, with a particular focus on learning environments, experience and design. All positions contribute to research on how learning environments and experience shape student engagement, learning and study trajectories in STEM education. We invite applications from candidates with disciplinary backgrounds in Mathematics, Computer Science, Biology, Physics, Chemistry, Pharmacy or related fields, as well as Education, Pedagogy, Psychology, Design or Learning Sciences, who wish to develop a strong research profile in STEM education. 

Applicants are not expected to cover all areas described in this posting; depth in one profile area is valued.