The Institute of Aerodynamics and Flow Technology is a leading research institute in the field of aerodynamics/aeroacoustics of airplanes and aerothermodynamics of space vehicles. The main activity of the C²A²S²E department (Center for Computer Applications in AeroSpace Science and Engineering) is the development of numerical methods and processes for the multi-disciplinary simulation and optimization of aircraft - from flight physics design to virtual certification.

We develop physical models for complex flows and cutting-edge solution algorithms, efficient optimization strategies covering all relevant disciplines, as well as surrogate models based on high-fidelity methods. The customization of numerical methods for optimal efficiency on high-performance computer clusters is of particular importance to the department. The flow-solvers being developed at C²A²S²E are routinely used for a wide range of applications in academia, research and industry throughout Germany and Europe.

Your main responsibility is the development, implementation and practical application of self-learning aerodynamic models. The goal is to develop models that allow to accurately represent the operational behavior of aircraft and wind turbines over the entire life cycle. To do this, you will investigate advanced machine learning methods which yield models that can learn and improve autonomously based on continuous data-streams. Together with colleagues, you will have the chance to apply and evaluate the methods you have developed in several wind tunnel experiments. The wind tunnel tests cover wind energy as well as civil aviation. This offers you the unique opportunity to bring your research in the field of machine learning to life under realistic conditions in DLR's large-scale research facilities.