The selected candidate will lead activities in the LS/CFD group adaptive mesh refinement techniques for high order finite elements. Required components of such a project include:
- General aspects adaptive mesh refinement techniques for high order methods
- Machine-learning techniques to optimize the mesh refinement procedure (using DRL and ML surrogates)
- Exascale HPC simulations in complex domains with adaptive mesh
- High-performance on modern node architectures
Successful development of such a project would have translational benefits over a broad range of applications of national and international. Its success requires a researcher who understands the full stack outlined above.
Key Duties
- Participate GPU activities to be carried out by BSC in the LS/CFD team
- Interact with the different collaborators of the LS/CFD team to carry out our collaborative research
- Research on GPU porting of dynamic adaptive mesh refinement techniques of CFD codes.
- Contribute in scientific papers publications
- Research on ML integration for CFD codes for mesh adaptive refinement.
- Lead the meshing activities in the LS/CFD group
Data de tancament: Divendres, 01 Novembre, 2024
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