Researcher in Computational Fluid Dynamics and Deep Learning

The role involves developing deep-learning frameworks and foundation models to analyze transport phenomena across various spatial and temporal scales. The position requires substantial research experience in computational fluid dynamics, including expertise in flow stability analysis, data-driven modeling, or flow control. Candidates must possess strong programming skills in C++ and experience with parallel computing and GPU-accelerated simulations.