Publisher
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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 available
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Country

Denmark

University

Technical University of Denmark

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Keywords

Computer Science
Electrical Engineering
Smart Grid Technology
Edge Computing
Energy Transition
Engineering Applications
Embedded System
Electric Drive
Power Electronic
Control System
Machine learning

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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