Jobs

On-going positions, various deadlines

If you aim at scientific excellence and want to establish a career as a scientist within supercontinuum fiber lasers and their high-level application within optical coherence tomography (OCT) imaging, then we have the ideal opportunity for you - come and be a part of one of the world’s strongest groups in this field. 

Your specific research area will the design, development, and characterization of supercontinuum fiber lasers and OCT systems that use these lasers. You will use the OCT scanners to perform a wide variety of OCT scans with particular emphasis on mid-IR OCT and industrial applications. In parallel with the hardware development you will work on developing associated intelligent OCT software to improve scanner performance and image quality.

The IT University of Copenhagen (ITU) invites highly motivated candidates to apply for a PhD position starting September 2026 or soon after. There will be a total of 3 positions.

ITU’s vision is to create and share knowledge that is profound and leads to groundbreaking information technology and services for the benefit of humanity. We invite applicants who want to contribute to this vision.

ITU offers a multidisciplinary research environment focused on information technology and its societal impact. Research spans across nine research sections, covering diverse areas within IT. Applicants must prepare a research proposal for a PhD project defined by the applicant and aligned with research conducted in at least one ITU research section. Applicants must identify and contact a prospective supervisor who will support the candidate in writing. The prospective supervisor must be employed as associate professor or above at ITU.

Applicants are invited for a fully funded PhD position within the newly established A3 Lab – Adaptive & Agentic AI at the Electrical and Computer Engineering programme, Graduate School of Technical Sciences at Aarhus University, Denmark.

The PhD project focuses on developing robust and reliable machine learning systems that can adapt at test time under real-world distribution shifts. Modern foundation models (e.g. vision–language and multimodal models) often perform well during training but degrade after deployment due to changes in data, environment, sensors, or user behaviour. The goal of this PhD is to design methods that allow such models to safely adapt after deployment while maintaining reliability and efficiency.

Applicants seeking further information regarding the PhD position are invited to contact Associate Professor Behzad Bozorgtabar, behzad@ece.au.dk (main supervisor).

The position is available from 15 May 2026 or later. 

The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of wireless communications as per May 1, 2026, or as soon as possible thereafter. The position is available for a period of 2 years.

As a postdoc, you will conduct research on advanced medium access control (MAC) mechanisms that exploit multi-dimensional waveform characteristics across time, frequency, delay, Doppler, and spatial domains, going beyond conventional time–frequency resource allocation. The research will address waveform-aware scheduling and asynchronous access strategies for future wireless systems, with particular attention to mobility, spatial non-stationarity, and scalable device connectivity in extra-large MIMO deployments. The work will explore adaptive MAC designs that leverage waveform structure and context information to improve user management, access efficiency, and robustness. A key aspect of the research is the joint design of communication and sensing functionalities at the MAC layer, where access and scheduling decisions support both data transmission and environment awareness. 

We seek motivated candidates eager to contribute to fundamental advances in wireless communications, with the ambition to build an internationally competitive research profile while enriching the broader research environment.

An exciting opportunity awaits you at the Electronics group at DTU Electro. We are offering a 2-year fully funded Postdoctoral position, supported by the esteemed ERC Consolidator grant from the European Research Council. 

The primary challenge in powering AI chips and future data center systems is enhancing the efficiency of voltage regulator modules (VRMs) to meet their substantial power demands, driven by the processing of vast amounts of data.  As part of the ERC project H3PMAG, this project aims to address key challenges in power solutions for future AI demands, focusing on efficiency, power density, and circuit dynamic response. The research will concentrate on creating novel circuit topologies, optimizing electronic components and revolutionizing their integration and packaging solutions.

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. 

Who can apply? To be eligible to apply for these positions, applicants need to have or be about to obtain either a BSc or an MSc degree (or their equivalent qualifications) in computer science, mathematics, or a related field. The qualified candidates are expected to have a good background and passionate interest in mathematics and computer science, demonstrated by having credited relevant courses such as Complexity Theory, Advanced Algorithms, Probability Theory, Real and Complex Analysis, Calculus, and Combinatorics. Or they may be demonstrated by results at the Olympiads of Mathematics or Informatics, or by publication in relevant internationally recognized conferences or journals.

Applicants need to be motivated for doctoral studies; should possess the ability to self-organize tasks and perform critical analysis; and also have good levels of communicative abilities and English language skills. The working language of the group is English, and knowledge of English is also fully sufficient to navigate every-day life in Scandinavia in general.

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.

We seek a postdoctoral fellow to join a project aimed at developing technology education in pre-service teacher training. It is a part time 2-year position starting 1 July 2026. 

The postdoc will work in the COTEK (co-design of technology comprehension on the teacher education programme) with a focus on how cybersecurity and AI can be taught in the teacher education programme and, in turn, in elementary school. The project is part of the Center for Technology Comprehension in K-12 Education (https://tekforstaa.dk/), a collaborative effort between the University of Copenhagen, Aarhus University, and the Danish University Colleges. The postdoc will work in collaboration with Prof. Morten Misfeldt and other researchers from the Center for Digital Education at the Department of Computer Science (https://di.ku.dk/english/) and the Department of Science Education (https://www.ind.ku.dk/english/). Part of the position will be to collaborate and coordinate with people from the teacher education programme, and to co-design educational materials with their consultants and educators. This includes conducting classroom studies where you will teach or support teachers in their teaching. The postdoc’s duties will include research as well as teaching. The post may also include performance of other duties.

The Machine Learning Section at the Department of Computer Science (DIKU) invites applications for a two-year postdoctoral position in Machine Learning for Large-scale Tree Ecosystem Monitoring within TreeSense: Center for Remote sensing and Deep Learning of Global Tree Resources. The TreeSense center is funded by the Danish National Research Foundation and focuses on the critical role of trees in terrestrial ecosystems, such as climate regulation, biodiversity support, and local livelihoods.

The postdoc’s duties will include research within machine learning applied to remote sensing data. The postdoc is expected to work together with researchers at DIKU and IGN, the Department of Geosciences and Natural Resource Management at the University of Copenhagen.

The start date is 1 June 2026.

The postdoc will investigate machine learning (ML) methods for analyzing Earth observation data. This can include the development of novel algorithms and learning paradigms. Initially, there will be an emphasis on studying vertical vegetation structure.

The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied to ecological monitoring. The successful candidates will help further develop analysis pipelines and implement next‑generation sensors for automated monitoring of insects across Europe. The positions are part of the ongoing EU Horizon Europe projects.

These are 2‑year postdoc positions, with a preferred start on 1 June 2026 or as soon as possible thereafter.

The positions focus on improving detection and classification performance of deep learning models applied to millions of images collected in European monitoring programs.

The Department of Computer Science at The Technical Faculty of IT and Design invites applications for four postdoc positions in the area of Natural Language Processing (NLP), AI, and LLM Security.

As a postdoc, you will conduct research at the intersection of Security, Safety, and Privacy in Natural Language Processing and AI, with a particular focus on Large Language Models (LLMs) and LLM-based systems. Furthermore, there will be the possibiltiy to gain experience as a co-supervisor for the PhD students associated with these projects, and to supervise students on BSc. and MSc. levels.

The positions are open for appointment from May 1, 2026 or soon thereafter - starting dates after the summer of 2026 are also possible. The duration of the positions is between 1 and 3 years, depending on the level of qualification and personal preference. The positions are at AAU’s Copenhagen campus, located at the waterfront in Sydhavnen.

The positions are hosted within the Natural Language Processing (NLP) research group at AAU Copenhagen, and postdocs will be advised by Professor Johannes Bjerva. 

Are you interested in working at the intersection of optimal control, AI algorithms, and game theory, on problems that matter for real-world critical infrastructure? 

This position offers the opportunity to develop strong competencies in multi-agent systems, learning and optimization, while addressing a timely and high-impact challenge: the growing use of AI agents in electricity markets. By joining our group of Dynamical Systems at DTU – department of Applied Mathematics and Computer Science, you will build rigorous mathematical and algorithmic tools to analyze how strategic, learning-based agents interact, and to design market rules that steer their learning dynamics toward stable, efficient, and safe outcomes.

Are you interested in working at the intersection of optimal control, AI algorithms, and game theory, on problems that matter for real-world critical infrastructure? 

This PhD position offers the opportunity to develop strong competencies in multi-agent systems, learning and optimization, while addressing a timely and high-impact challenge: the growing use of AI agents in electricity markets. By joining our group of Dynamical Systems at DTU – department of Applied Mathematics and Computer Science, you will build rigorous mathematical and algorithmic tools to analyze how strategic, learning-based agents interact, and to design market rules that steer their learning dynamics toward stable, efficient, and safe outcomes.

The purpose of this PhD position is to understand how AI-driven, profit-seeking agents interact in electricity markets and how these interactions shape market equilibria and dynamics. The project focuses on analyzing learning-based strategic behavior in multi-agent settings and on designing market rules that ensure stable, efficient, and safe operation of critical infrastructure. The work combines theory and computation, with a strong emphasis on multi-agent systems, optimal control, and algorithmic market design.

The Natural Language Processing Section at the Department of Computer Science invites highly-motivated applicants for a Ph.D Fellow in Natural Language Processing. The start date is expected to be 1 September 2026 or as soon as possible thereafter.

The overall goal of the project is to advance the theory and application of language models that can process any written language by rendering text as images. This visual representation of text allows a model to learn cross-lingually based on the visual similarities between written languages. The project includes creating and implementing tokenization-free multilingual language models, collecting and curating visually diverse language data, and training both small-scale and large-scale language models. In particular, the selected Ph.D Fellow will be expected to focus on the development of hybrid models that can jointly process tokenizer-based and tokenizer-free representations.

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 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 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. 

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.