Mathematics - Research Position in Hemodynamic Flow simulation involving Fluid-Structure Interaction - 100% TV-L13 - 3 years

The research positions are associated to the Collaborative Research Project Development and implementation of Machine Learning methods for the prediction of ischemic strokes funded by the German Ministry for Education and Research (BMBF). The aim of the project consists in developing computational and mathematical analysis tools to improve clinical pathways in the exploration, analysis and treatment of vasoconstriction to reduce the resulting risk of ischemic stroke. For this purpose new methods of blood flow simulation and machine learning as well as new fluid-structure interaction (FSI) optimization techniques are developed in close collaboration with the other project and clinical application partners. The group at the Campus Landau develops numerical 3D models and simulation tools for realistic carotid hemodynamic flows regimes involving the fluid-structure interaction and the blood rheology. The simulation results complement the patient data providing the quantification of hemodynamic risk parameters. In collaboration with the clinical partners the simulation data is exported for the training of the ML algorithms. Application deadline: July 24, 2020

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