Tomislav Dragičević
1 week ago
Postdoc in Power Converters, Edge Computing, and Machine Learning for Energy Applications Technical University of Denmark in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
Denmark
University
Technical University of Denmark

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About this position
The Technical University of Denmark (DTU) is seeking multiple postdoctoral researchers to join a dynamic team working on the development of high-performance power converters and drives with integrated edge computing and machine learning capabilities. The research aims to advance monitoring, control, and intelligent functionalities for smarter, more flexible, and more resilient power grids, contributing to the green transition.
Successful candidates will collaborate with strong academic and industrial partners, focusing on ML-enabled, edge-intelligent converters and drives for energy applications. The ideal background includes power electronics, electric drives, control systems, embedded systems, edge computing, or machine learning applied to energy and smart grid contexts.
This opportunity is ideal for those interested in the intersection of electrical engineering, computer science, and sustainable energy technologies. The position is based at DTU, a leading technical university in Denmark, and offers the chance to contribute to cutting-edge research with real-world impact.
For more information and to apply, visit the DTU career portal. The position is open until filled. For further details, contact Professor Tomislav Dragičević.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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