RWTH: RWTH receives 10.1 million euros to train particularly qualified doctoral students

DFG extends two research training groups.


The German Research Foundation (DFG) has approved the extension applications for the graduate schools “UnRAVeL – Uncertainty and Randomness in Algorithms, Verification, and Logic” and “Energy, Entropy, and Dissipative Dynamics”. These were set up at RWTH Aachen University in 2017. The aim of a graduate school is to train particularly qualified doctoral students. For this purpose, RWTH will receive a total of 10.1 million euros over the next four and a half years.

With 6 million euros, the DFG will support the training of 12 doctoral students in the Graduate School 2236 “UnRAVeL – Uncertainty and Randomness in Algorithms, Verification, and Logic”. Twelve RWTH professors are involved in this, the spokesperson for the graduate college is Professor Joost-Pieter Katoen from the Chair of Computer Science 2 (software modeling and verification). Uncertainties that arise, for example, from large amounts of data, fuzzy measurements or imprecise models, are the focus of this Research Training Group. The aim is to apply the concepts of theoretical computer science to engineering and business administration and to apply them above all to questions of uncertainty problems and uncertainty. By combining IT,

Ten doctoral students and one post-doctoral student are funded in the “Energy, Entropy, and Dissipative Dynamics” graduate school. The funding amount is 4.1 million euros. Eight RWTH professors are involved in the graduate school. The spokesperson for the graduate school is Professor Michael Westdickenberg from the Chair of Mathematics (Analysis). The graduate school combines analysis, modeling and numerics in the field of nonlinear hyperbolic and kinetic partial differential equations and applied analysis. The connecting element of all research projects is the consideration of energy / entropy functionalities and their dissipation mechanisms as a tool for the investigation of the properties of a model and the permissible dynamics.