PhD in Trustworthy AI and Machine Learning for Renewable Power Grids at Technical University of Denmark

Applications are now open for a fully funded 3-year PhD position at the Technical University of Denmark (DTU), focusing on trustworthy AI and machine learning for renewable power grids. This opportunity is part of the NU-ACTIS (CETPartnership) project and offers a unique chance to work on safe, robust, and explainable ML-based control for converter-dominated renewable power systems. The research will address next-generation grid stability and AI-driven control, with significant real-world impact in collaboration with Siemens Energy, Uppsala University, and an international research consortium. The ideal candidate will have a strong background in electrical engineering, control engineering, or computer science, with experience in machine learning, power systems, or related areas. The project emphasizes the development of explainable and robust AI solutions for power system stability, making it highly relevant for those interested in the intersection of AI, renewable energy, and control engineering. The position is fully funded, covering tuition and providing a stipend, and offers the opportunity to collaborate with leading industry and academic partners. Applicants should prepare a CV, cover letter, and relevant academic documents, and submit their application through the DTU Career Site before the deadline of 6 March 2026. This is an excellent opportunity for motivated students to contribute to the advancement of renewable energy systems and AI-driven control technologies in a dynamic, international research environment.