A turbulent separation bubble (TSB) occurs when a turbulent boundary layer separates from a solid
surface, forms a shear layer, and eventually reattaches further downstream. Such flows may occur in diffusers, air
intakes, compressor and turbine blades, overexpanded rocket nozzles, or simply behind steps and corners. TSBs are
known to exhibit strong unsteadiness over a large frequency range, which is very detrimental to technical applications.
The central goal of this DFG-funded project is to develop a physical low-dimensional model for the dynamics of turbulent
separation bubbles. To this end, high fidelity numerical summations (LES) and data-driven statistical analysis (spectral
POD) are combined with theoretical modelling (Resolvent analysis, global stability analysis) and scientific machine
learning (PINN, Reinforcement learning).
The complete description of the position can be found on our jobs and vacancies page.