PhD in Machine Learning and AI?

If you are interested in working towards a PhD in Machine Learning and AI as a research assistant (full-time) in our group, do not hesitate to contact us. We are a group of highly motivated researchers working in various fields between machine learning foundations (e.g., deep learning, transfer learning, uncertainty modeling, active learning, collaborative learning) and interdisciplinary applications (e.g., renewable energy systems, autonomous driving, physics and materials science). Your equipment and the support in getting your PhD will be excellent (e.g., several powerful GPU servers, regular doctoral seminars).

Between now and mid of 2020 we expect to be able to offer at least six PhD positions in fields such as

  • transfer learning for power forecasting of renewable energy plants recently brought into service,
  • prosumer behavior forecasting for usage planning of hydrogen storage in smart energy markets,
  • big data algorithms (e.g., deep learning for time series) for high-performant electric motor test facilities,
  • active learning, transfer learning, anomaly detection with autoencoders and generative adversarial networks for digital twins of photovoltaic plants,
  • machine learning for smart individual financial assistants,
  • machine learning (e.g., computer vision) for weak point analysis in 3D metal printed components (announcement),
  • decision support for startup and innovation investments based on autoencoders and generative adversarial networks (announcement).

Due to the administrative constraints, most vacancy notices have very short deadlines, and it is difficult to predict when they will become available. So, please write an email to to get more information.