A postdoc position is available in the Embedded Systems Engineering section at DTU Compute. The position is part of AI4SDV, a Chips Joint Undertaking project on AI-assisted methods and tools for software-defined vehicle (SDV) engineering automation. AI4SDV studies how AI can assist design, configuration, analysis, validation, and verification along the SDV engineering life cycle.

At DTU, we focus on AI-driven methods and tools for model-based systems engineering of distributed cyber-physical real-time systems. The work combines machine learning, combinatorial optimization, formal analysis, reinforcement learning, and large language models. We consider distributed architectures such as those found in vehicles, including Time-Sensitive Networking (TSN) for in-vehicle communication and mixed-criticality applications that share hardware, network, and software resources.

Responsibilities and qualifications
Your main task will be to develop AI-driven methods and prototype tools for analysis and configuration in model-based engineering workflows for distributed real-time systems. You will work with colleagues at DTU and with academic and industrial partners in AI4SDV.

The work may include:

• AI-based methods that predict or approximate analysis results and then check the results with deterministic tools.
• AI-assisted combinatorial optimization for configuration, mapping, scheduling, routing, or resource allocation problems.
• LLM-based synthesis of models, constraints, test cases, and prototype code used by analysis and configuration tools.
• Model-based workflows that connect requirements, architecture models, analysis artifacts, and generated configurations.
• Experiments on vehicle-inspired distributed architectures using TSN and mixed-criticality applications.
• Research publications and collaboration with the AI4SDV partners.
• Student supervision, teaching, and proposal work when this fits the project and your career plans.

As a formal qualification, you must hold a PhD degree (or equivalent).

We are looking for candidates with:

• A research background at the intersection of cyber-physical systems or real-time computing and machine learning.
• Experience with at least one of: real-time systems, embedded or distributed systems, model-based engineering, formal methods, optimization, networking, or TSN.
• Good programming skills and experience with research prototypes.
• Experience publishing research and working with other researchers and engineers.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

At ESE, we support postdocs who want to prepare for an academic career. Depending on the project and the candidate's interests, this can include co-supervision of students, teaching experience, proposal work, and help in defining an independent research profile.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

The period of employment is 3 years. Starting date is 1 October 2026 (or according to mutual agreement). The position is full-time.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Prof. Paul Pop ([email protected]) and Associate Prof. Silviu Craciunas ([email protected]).

You can read more about DTU Compute at www.compute.dtu.dk and about Paul Pop and Silviu Craciunas. More details on relevant research problems are available from Paul Pop's Google Scholar page and Silviu Craciunas' Google Scholar page.

You can read more about DTU Compute at www.compute.dtu.dk.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Application procedure
Your complete online application must be submitted no later than 16 August 2026 (23:59 Danish time). Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications
• Research statement, including how your background fits the position
• One publication where you were the first author and did most of the work
• An example code sample written by you, or a repository link with a short explanation of your contribution

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position.

Embedded Systems Engineering (ESE) is one of the 10 research sections at DTU Compute. Our mission encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum eras. Our vision is to pioneer advancements in high-tech distributed and embedded systems technology, driving change, and contributing positively to society. We strive for a future where our research and innovations form the cornerstone of technological advancements, and we're excited to include more brilliant minds in our journey. See our publications and projects here. In ESE, we are building an internal pipeline for applicants to faculty positions. Postdocs will be supported in improving their CVs for academic careers. This includes co-supervision of MSc and PhD students, teaching opportunities, and proposal development. You can learn more about ESE and the future faculty positions here.

DTU Compute
DTU Compute – Department of Applied Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute to creating a better society by supporting areas such as health, green transition, energy supply, and life science. We collaborate with universities, public and private organisations, and companies in Denmark and abroad, and through DTU’s startup ecosystem, we encourage innovation and entrepreneurship. We have a strong ethical, human, and sustainable approach that ensures integrity in our work. Therefore, we strive for and take responsibility for driving the democratisation of digital technologies, so that everyone has the opportunity to actively participate in the development, and we ensure a continued open, democratic, and inclusive society for the benefit of all. At DTU Compute, we value diversity, inclusion, and a flexible work-life balance. Read more about us at www.compute.dtu.dk.

DTU – For the benefit of society since 1829
DTU is one of Europe's leading elite technical universities. Through research and education at an international top level, we create solutions to the major societal challenges of our time and help secure Europe's global leadership in sustainable technological development. Since Hans Christian Ørsted founded DTU almost 200 years ago, our mission has remained the same: We develop and create value through the natural and technical sciences for the benefit of society. DTU has 13,800 students, 1,600 PhD students, and 6,500 employees. We work in an international environment and have an inclusive, stimulating, and informal work culture. DTU has campuses in all parts of Denmark and in Greenland and collaborates with the best universities around the world.

Location
Kgs. Lyngby, Denmark

Apply Before
2026-08-16T21:59:00+00:00