PhD Candidate (f/m/d) Data-Driven Autonomous Distribution Grid Planning | Doktorand (w/m/d) Daten-basierte autonome Verteilnetzplanung

Job Summary

This PhD position offers the unique opportunity to shape the future of energy by developing AI-driven solutions for autonomous distribution grid planning. Based in Munich, you will work part-time (20 hours/week) in a dynamic team, bridging the gap between cutting-edge research and real-world industrial applications. Your daily responsibilities include developing data-driven methods for grid analysis, integrating distributed flexibilities like heat pumps and EV chargers into planning models, and applying advanced algorithms such as Deep Learning, Clustering, and Bayesian Networks. You will manage complex data models, evaluate your findings through implementation, and contribute to the scientific community through publications and patent disclosures. The role is ideal for a motivated researcher with a background in electrical engineering, computer science, or mathematics, offering a collaborative environment, flexible working models, and the chance to drive innovation in sustainable energy systems.