Postdoctoral Appointee-Developing an Exascale MuPhFASa (Multi Phase Flow Adaptive Simulator)
Core
Developing massively parallel computational fluid dynamics (CFD) solvers and adaptive refinement strategies for exascale computing on the Aurora supercomputer.
Role type
Postdoctoral Researcher (Computational Fluid Dynamics & High Performance Computing)
Builds
Massively parallel CFD solvers using AMReX and Lattice Boltzmann Method (LBM) for multi-phase flow problems.
Domain
Computational Science / Exascale Computing / Fluid Dynamics
Deliverable
production ML models | product features
Required skills
Lattice Boltzmann Method (LBM), Computational Fluid Dynamics (CFD), High Performance Computing (HPC), MPI parallel programming, C/C++/Python, Mesh-based scientific code development
Preferred skills
Two-phase/multi-phase flow expertise, GPU programming (CUDA/SYCL/HIP/OpenMP), AMReX framework development, Performance engineering
Technologies
AMReX, Aurora, MPI, C, C++, Python, CUDA, SYCL, HIP, OpenMP
Responsibilities
Develop flow/geometry-aware refinement strategies and physics-based adaptation algorithms; Create integrated frameworks for advanced workloads including in-situ visualization; Inform future ALCF platform procurement decisions.
Seniority
Postdoctoral, hands-on IC
