PhD Scholarships in edge machine learning for high-performance power converters and drives - DTU Wind

Do you want to be involved in the green energy transition? 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.

Requirements

• Knowledge of computer science and machine learning.
• Familiarity with electrical and electronic engineering.
• Proficiency with 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.

Benefits

• Three-year scholarship with a stipend of DKK 8,561.90 per month
• A benevolent and professional working environment, with colleagues from different nationalities and expertise