-
motivated PhD candidates that, combining model-based (physics) and data-driven (machine-learning) approaches, will develop innovative, highly accurate and highly efficient solvers for rarefied gas flows
-
taking into account the effects of boundaries and interfaces to other system components. You will also spend some time at our partner organizations during planned secondments at KU Leuven (BE) and ASML (NL
-
for many countries in the last years. Hydrogen is expected to play a crucial role in achieving this target. The PhD will focus on the domestic and global green hydrogen supply chains and develop optimization
Enter an email to receive alerts for phd "ASML" positions