PhD Scholarship in edge machine learning for high-performance power converters and drives - DTU Wind
DTU - Technical University of Denmark · Kongens Lyngby, Capital Region, DK
Do you want to be involved in the green energy transition? Do you wish to contribute to the development of machine learning methods with real-world impacts o...
Job description
Do you want to be involved in the green energy transition? Do you wish to contribute to the development of machine learning methods with real-world impacts on power electronic converters and drives? Are you looking for a career in R&D or academia? We have multiple opportunities for you! We invite applications for multiple 3-year fully funded PhD 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....