Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute, where your expertise in dependability, performance, and sustainability will drive us towards a smarter, greener future. 

By joining us, you stand to gain extensive support unlocking your career potential. You'll have access to state-of-the-art facilities and expert assistance with improving your proposal writing skills and feedback on grant applications. We actively facilitate building your professional networks, both within Denmark and the EU. Although teaching is not a formal part of the post; we offer opportunities to build your teaching portfolio and supervise undergraduate and postgraduate students on projects related to your research area.

Responsibilities and qualifications
We seek to recruit a Postdoc with expertise in the emerging edge computing areas of Embedded AI, Edge AI, TinyML or AIoT. The position is associated with a research project jointly funded by the European Commission and Innovation Fund Denmark (IFD). It is a large European project with a consortium of 68 partners that aims at giving the European Union the technological edge and independence in next generation Edge AI technology, giving citizens and corporations access to reliable, safe, secure and independent competitive Edge AI functionalities for smarter applications. In this context, the role of DTU is in designing and developing Embedded AI frameworks for resource-constrained edge applications. The selected candidate will have the opportunity to collaborate closely with our Danish industrial partners on innovative use cases, including advanced condition-based monitoring in industrial settings and speech enhancement in audio headsets.

The appointed applicant will be responsible for the design and development of designing and developing efficient Embedded AI frameworks for resource-constrained edge applications. In particular, the appointed candidate will be responsible for:

• Conducting research in Embedded AI and Edge AI with a focus on industrial condition monitoring or audio applications.
• Developing proof-of-concept implementations and experimentally validating their research.
• Publishing and disseminating their research in high-quality conferences and journals.
• Contributing to deliverables and other administrative activities associated with the project
• Co-managing the project activities, representing DTU in project meetings, coordinating and collaborating with project partners, and supervising students and research assistants working in the project.

Qualified candidates should have:

• A PhD degree in Computer Science, Electrical Engineering or equivalent.
• Research interests and a scientific track record in Edge Computing research fields, such as Embedded AI, Edge AI, TinyML, and AIoT, that can be documented by a publication record in relevant venues.
• Solid understanding of state-of-the-art embedded machine learning techniques.
• Experience in system-level programming, developing prototype implementations, and evaluating their research in testbed experiments.
• An interest in generating real-world impact and collaborating with the industry.
• Excellent communication skills in English.

The following qualifications are a plus:

• Experience in audio signal processing or speech processing.
• Experience in condition monitoring or predictive maintenance.

Flexibility and self-motivation are desired skills at DTU. In addition, we expect you to be interested in collaboration and take personal responsibility for your work.

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. 

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 2 years. The starting date is December 2025 or soon thereafter according to mutual agreement. 

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor Xenofon Fafoutis and Associate Professor Luca Pezzarossa.

You can read more about ESE at www.compute.dtu.dk/sections/emsys and 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 29 August, 2025 (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 
• Links to relevant public code repositories that you may have contributed (optional)
• 2 references (who we can contact for further details)

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 section of 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.

DTU Compute – Department of 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.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.