Postdocs in Development of high-performance Power Converters and Drives with Edge computing and Machine Learning capabilities - DTU Wind

Do you want to contribute to the green energy transition? Are you excited about developing intelligent power electronic converters and drives with AI and edge computing technologies? If you are looking to grow your career in either academia or R&D, we invite you to join us!

We invite applications for multiple 2-year Postdoc positions that will contribute to the development of a new generation of embedded intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities.

The Postdoc positions are part of the European Research Council (ERC) project ARTEFACT and the Energiteknologiske Udviklings- og Demonstrationsprogram (EUDP) project SCOPE.

These projects involve complex scientific and engineering challenges and bring together a range of stakeholders. While the research topics are ambitious, you will be part of a collaborative and supportive team environment where knowledge sharing and teamwork are highly valued. Together, we create an environment that fosters innovation, learning, and impactful research.

The two projects are closely aligned and address complementary parts of the same vision: making power converters and drives smarter, more reliable, and more grid-supportive by embedding intelligence directly on the edge. ARTEFACT (ERC) develops privacy-preserving and decentralized online learning methods deployed in converters/drives so that fleets of motor applications (e.g., pumps, fans, compressors) can self-quantify and aggregate flexibility for grid services with formal uncertainty awareness, while sharing only what is necessary. SCOPE (EUDP) focuses on industrially scalable condition-based monitoring (CBM) of rotating machinery that is simple to deploy and scale, by running plug-and-play analytics inside modern drives or on a plant controller using only electrical signals already measured by the drive, while minimizing data export and supporting modern cybersecurity requirements. Across both projects, the goal is to combine advanced power-electronic control with edge computation and ML so converters and drives can continuously learn from operation, detect degradation early, and provide quantified flexibility—enabling improved efficiency, uptime, and system-level performance.

In this context, the projects address a range of compelling challenges, including the evaluation of converter and drive architectures for edge-resident intelligence; the development of advanced modulation, estimation and control algorithms for high-performance operation; and the integration of online/continual learning and uncertainty quantification into converter and drive decision-making under real-time constraints.
Depending on the specific position and candidate’s background, the work may involve drive-integrated monitoring and diagnostics based on electrical signatures, physics-informed and probabilistic learning methods for robust adaptation across varying mission profiles, and experimental validation on state-of-the-art laboratory setups and, where relevant, in collaboration with industrial partners for demonstration and deployment.

Responsibilities and qualifications
If you are motivated by contributing to the development of these technologies and helping turn ambitious research ideas into real-world solutions, we are already on the right path together.
We also hope that you have experience in the following areas:

• Knowledge of computer science and machine learning.
• Familiarity with electrical and electronic engineering.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Strong problem-solving skills and the ability to collaborate in interdisciplinary teams.
• Excellent command of the English language and communication skills, with the ability to present results in scientific papers.

We recognize that excellent candidates may bring different combinations of skills and experiences. If you do not think you meet all our requirements but are enthusiastic about the position and believe you can contribute to our research vision, we encourage you to apply anyway; you could be the ideal candidate for us.

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

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.

You will be affiliated with the Power-to-X and Storage section in the Division of Power and Energy Systems at the Department of Wind and Energy Systems. You will become part of a multidisciplinary and international research environment where collaboration, knowledge sharing, and scientific curiosity are highly valued. We offer a friendly and supportive atmosphere that encourages creativity, diversity of thought, empathy, and teamwork. You will have excellent opportunities to build strong international networks with leading researchers at DTU and other universities, as well as with industrial collaborators.

The section conducts internationally leading research and teaching in flexibility, advanced power electronics, battery energy systems, and microgrids. Collaboration across research areas is encouraged, including with neighbouring sections working on distributed energy systems, hybrid power plants, smart grids, power system flexibility, and market design and operation. Our team currently includes researchers from 15 different countries and a wide range of academic and professional backgrounds. We value different perspectives and experiences and believe they strengthen both our research and our working environment. We therefore welcome applicants who are motivated to contribute both scientifically and as collaborative colleagues in our research community.

Salary and terms of employment
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. In addition, supplements can be negotiated in accordance with DTU’s salary structure for scientific staff: www.inside.dtu.dk/en/human-resources/during-employment/salary/salary-structures.

The period of employment is 2 years with start date 1 January 2027.

You can read more about career paths at DTU here.

Further information
Further information may be obtained from Professor Tomislav Dragicevic (tomdr@dtu.dk).

You can read more about DTU Wind and Energy Systems at https://wind.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 Sunday, 4 October 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

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.

The Department of Wind and Energy Systems is one of the world’s largest centers for wind energy and energy systems research and knowledge, with a staff of more than 400 people from 37 countries working in research, innovation, research-based consulting, and education. DTU Wind and Energy Systems has approximately 90 PhD students. The department's cross-disciplinary research is organized through strategic research programmes that collaborate with Danish and international universities, research institutions, and organizations, as well as the wind industry.

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.