International Research Training Group – Modern Inverse Problems (MIP)Urheberrecht: CGRE
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 1st, 2018.
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 its 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.
We participate in the sub-project P11, "Model-controlled Bayesian inversion for geophysical inverse problems". Prof. Florian Wellmann is PI in this project and the partner-PI at the Oden Institute of UT Austin is Prof. Omar Ghattas. The postgraduate student in this projecft is Zhouji Liang.