Postdoctoral Researcher in Deep-Learning Methods for Wall Models

KTH Royal Institute of Technology
VinuesaLab
Stockholm, Sweden
Not Disclosed
2 weeks ago

Skills

Description

KTH Royal Institute of Technology is offering a postdoctoral position within the EU research project ROSAS, focusing on the development of wall models for turbulent-flow simulations using deep reinforcement learning. This research is pivotal for advancing aerodynamics in aviation and supporting the climate-neutral transformation of aviation as outlined in “Flightpath 2050.” The position will involve collaboration with the VinuesaLab research group, access to large-scale supercomputing facilities, and participation in cutting-edge simulation and experimental work. Candidates should have a Ph.D. in Mechanical/Aerospace Engineering, Computer Science, or a related field, with expertise in fluid mechanics and a background in data-driven or computational methods. The application deadline is 7th February 2025.

Professor Details

rvinuesa@mech.kth.se