Fully Funded PhD Openings in Edge Machine Learning for Power Converters and Drives at DTU Wind and Energy Systems Technical University of Denmark in Denmark

DTU Wind and Energy Systems in Denmark is advertising multiple fully funded PhD openings within the ERC project ARTEFACT. The research focuses on edge machine learning for making power converters and drives smarter, more reliable, and more useful for the green energy transition.

This opportunity sits at the intersection of electrical engineering and computer science, with strong relevance to power electronics and energy systems. The post emphasizes originality, fresh ideas, and scientific creativity, making it a good fit for candidates who want to contribute to advanced research in intelligent energy technologies.

The announcer is Tomislav Dragičević, Professor in Power Converters and Drives at the Technical University of Denmark. The post does not list detailed eligibility criteria, but it clearly seeks talented and motivated candidates for PhD-level research.

Funding is described as fully funded. The application deadline is 15 June 2026. Interested applicants should use the provided application link and submit before the deadline. The post also invites potential candidates to reach out directly.