Chair of Machine Learning and Uncertainty Quantification

Welcome to the Chair of Machine Learning and Uncertainty Quantification at the Faculty of Informatics and Data Science of the University of Regensburg.

The chair is dedicated to the analysis of data as a central resource for machine learning applications and data as a crucial competitive factor and driver of innovation in the digital economy. In this context, the measurement of uncertainty and its impact on machine learning methods are of central importance. Our research focuses on individual users, companies and organizations, as well as the embedding socio-economic systems. To this end, technical, economic and social (regulatory) issues are considered.

Open Positions

We are currently looking for student and research assistants to support us in research and teaching. If you are studying at the University of Regensburg and are interested in joining our team, please contact Andreas Schauer directly by e-mail.

In addition, we regularly have open PhD positions. Thus, we welcome applications by e-mail (including the ususal documents) to Prof. Dr. Daniel Schnurr.