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

Do you want to be involved in the green energy transition Do you wish to contribute to the development of AI within power electronic converters and drives and are you looking for a career in R&D or academia Then we have multiple opportunities!

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.

We offer a multidisciplinary international and friendly atmosphere encouraging creativity diversity empathy and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as industrial partners.

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. Collaboration is encouraged with neighboring sections working on distributed energy systems hybrid power plants smart grids power system flexibility and market design and operation. The section undertakes internationally leading research and teaching in the field of flexibility advanced power electronics battery energy systems and microgrids. We are currently formed by 30 researchers from 15 different countries which continuously provide us with different perspectives that is the foundation to find good solutions and solve real world problems. We hope that you wish to contribute to that.

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

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 flexibilityenabling improved efficiency uptime and system-level performance.

In this context the projects tackle highly 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 background the work may include drive-integrated monitoring and diagnostics from 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 andwhere relevantin collaboration with industrial partners for demonstration and deployment.

As you can tell it is a complex matter with a lot of considerations and stakeholders and it is important to state that you are not alone. We mean it when we say that we believe that it is us and our contributions together with our different backgrounds mindset competencies knowledge and ideas that enables us to find the right solutions.

If you just like us are motivated by seeing this project becoming reality we are already on the right path. We also hope that you will 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 welcome candidates with varied experiences and educational pathways. DTU Wind works with an inclusive mindset in recruitment. If you find the position interesting but do not think you meet all our requirements 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.

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.

You can read more aboutcareer paths at DTU here.

Further information
Further information may be obtained from Professor Tomislav Dragicevic ().

You can read more about DTU Wind and Energy Systems at you are applying from abroad you may find useful information on working in Denmark and at DTU atDTU Moving to Denmark.

Application procedure
Your complete online application must be submitted no later than 31 May 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 worlds 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 departments 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.

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 UNs 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 13500 students and 6000 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.