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

We invite applications for multiple 2-year Postdoc positions to 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.

Requirements

• Knowledge of computer science and machine learning
• Familiarity with electrical and electronic engineering
• Proficiency in programming languages such as Python, C++, or MATLAB
• Strong problem-solving skills and the ability to collaborate in interdisciplinary teams
• Excellent command of the English language and communication skills, with the ability to present results in scientific papers