On January 1, 2026, Dr. Jaap Eising started his position as a Tenure Track Assistant Professor of AI in Control within the DTPA group. His research interests are understanding and designing learning architectures, aiming at the development of new data-based control methods for hard to model systems.
Jaap earned his MSc and PhD in Mathematics from the University of Groningen in 2017 and 2021 respectively. His doctoral thesis focused on the analysis of conically constrained dynamical systems and fundamentals of data-driven controls. Followed by the PhD was a position as postdoctoral researcher at UC San Diego, working on both data-based control and optimization. After this a he moved to ETH Zurich, where he became a senior scientist, expanding towards the links between controls, machine learning and algorithm design.