Doktorand*in (w/m/d) für die Simulation kompressibler turbulenter Strömungen
Core
PhD research on the dynamics and statistical properties of compressible turbulence, focusing on kinetic energy dissipation rates and their dependence on the Reynolds number.
Role type
PhD researcher (research & simulation)
Builds
scientific publications and research insights
Domain
Fluid dynamics / Applied mathematics / Machine learning
Deliverable
research
Required skills
compressible turbulence theory, direct numerical simulation (DNS), statistical and geometric data analysis, machine learning methods, scientific programming (Fortran 90, Python, MPI, OpenMP, OpenACC)
Preferred skills
partial differential equations, statistical physics, in-house software development
Technologies
Fortran 90, Python, MPI, OpenMP, OpenACC
