Master Thesis Project in Computational Fluid Dynamics

This master thesis project focuses on developing statistical algorithms to automatically identify initial transients and monitor data signals for statistical convergence in turbulence-resolving simulations. The role involves exploring statistical tools to improve accuracy and reliability in hybrid RANS-LES methods used for aerodynamic design. The successful candidate will collaborate with experienced engineers to integrate the developed tool with Saab's in-house flow solver.