About IRTG-2379

  Copyright: © Peter Winandy  

The International Research Training Group (IRTG) „Modern Inverse Problems: From Geometry and Data to Models and Applications“, is funded by the German Research Foundation (DFG) and started on October 1, 2018. After a successful review in 2022, a second funding phase was approved to start in April 2023.

Computational methods permeate every aspect of engineering and science, from analysis to discovery and optimization. Their evolution continues at a rapid pace, driven not only by ever faster computing hardware, but also by our growing understanding of the true potential of computer-aided methods. Practical simulations transition from single numerical experiments towards robust predictive tools; models of isolated phenomena evolve into model hierarchies representing complex systems; numerical methods expand to deal with sensitivities with respect to parameters, uncertainties in those parameters and in models themselves. The educational system on all levels must keep up with and foster these advances.

The International Research Training Group builds on a unique and complementary consortium, at RWTH Aachen University with JARA CSD Center for Simulation and Data Science, which has taken over the work of Aachen Institute of Advanced Study in Computational Engineering Science (AICES), and at The University of Texas at Austin with its Oden Institute for Computational Engineering and Sciences.

The projects are embedded in the field of modern inverse problems and introduce a new innovative perspective into the education of future scientists and engineers. They focus on the challenges that arise in the interaction of the four specific themes: geometry, data, models, and applications.

The aim of the IRTG is to educate and promote highly qualified doctoral candidates.

Detailled information about the research programm can be found in the section Research.