Postdoc in Development of high-performance Power Converters and Drives with Edge computing and Machine Learning capabilities - DTU Wind

Job description

Do you want to be involved in the green energy transition? Do you wish to contribute to the development of AI within power electronic converters and drives and are you looking for a career in R&D or academia? Then we have multiple opportunities! We invite applications for multiple 2-year Postdoc positions that will contribute to the development of a new generation of embedded intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. We offer a multidisciplinary, international, and friendly atmosphere, encouraging creativity, diversity, empathy, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as industrial partners. You will be affiliated with the Power-to-X and Storage section in the Division of Power and Energy Systems at the Department of Wind and Energy Systems. Collaboration is encouraged with neighboring sections working on distributed energy systems, hybrid power plants, smart grids, power system flexibility, and market design and operation. The section undertakes internationally leading rese...