Postdoctoral researcher (m/f/x) on the subject: Probabilistic turbulence models
Core
Developing entropy-stable simulations of fluid flow using probabilistic turbulence models for applications like wind-turbine wakes and CO2 transport.
Role type
Postdoctoral researcher (Scientific Computing)
Builds
Adaptive, probabilistic turbulence models and entropy-stable fluid flow simulations
Domain
Scientific Computing / Computational Fluid Dynamics / Applied Mathematics
Deliverable
production ML models | research
Required skills
numerical analysis, stochastic methods, generative machine learning, computational fluid dynamics, data assimilation, Python, Julia
Preferred skills
strong mathematical background, fluid flow simulation expertise, programming skills
Technologies
Python, Julia
Responsibilities
Construct adaptive probabilistic turbulence models, apply models to real-life applications, supervise PhD candidates, collaborate with universities and knowledge institutes
Seniority
Postdoctoral, research-focused IC