• As a part of your Master thesis, you will develop a physics-informed current controller for grid-tied inverter control.
• You will evaluate the linear regulator and the predictive controller as reference points, as well as establish their boundaries.
• In addition, you will research current AI-based implementations in the literature.
• Furthermore, you will be responsible for developing a concept to improve the implementation of AI-based black boxes and mitigate their drawbacks in grid-tied inverter applications.
• Last but not least, you will select an AI-based concept, which may include machine learning, recurrent neural networks or reinforcement learning. If necessary, you will model the system alongside the implemented controller.

• Education: Master studies in the field of Engineering, Mathematics, Information Technology or comparable
• Experience and Knowledge: in the application of AI methods, system modeling and control engineering; advantageous in power electronics
• Personality and Working Practice: you are a team player with good communication skills who is able to work independently, proactively and meticulously
• Work Routine: office and laboratory work required, partially mobile working possible
• Languages: good in English

As long as this position is advertised in our job portal, we are looking for suitable candidates.

For data protection reasons, applications are only accepted via our application portal. We regret that we cannot consider applications submitted by email or post.