ARGONNE

Postdoctoral Appointee-Developing an Exascale MuPhFASa (Multi Phase Flow Adaptive Simulator)

Lemont, IL USA · Contract

Sponsorship not specified$73k-$121kDetected 30 days ago

PythonC++AlgorithmsMachine LearningProcurementCFDLeadershipCommunicationCollaboration

About the role

We help researchers solve some of the world's largest and most complex problems with our unique combination of supercomputing resources and computational science expertise.
The Computational Science (CPS) Division focuses on solving the most challenging scientific problems through advanced modeling and simulation on the most capable computers.
Additionally, the CPS provides an interdisciplinary home for spawning simulation programs and projects, often in collaboration with the ALCF.

Required Skills:
Recent or soon-to-be-completed Ph.D. (typically completed in the last 5 years) in mechanical/aerospace/chemical engineering, applied mathematics or a related discipline.
High performance computing (HPC) experience in code development with parallel programming techniques using the message passing interface (MPI) library

Experience in numerical methods and CFD development using mesh-based scientific codes.
Expertise in the lattice Boltzmann method (LBM) as evidenced by their publications
Proficiency in writing code with C, C++ and/or Python
Ability to demonstrate strong written and oral communication skills
Experience with two-phase/multi-phase flows as evidenced by their publications
Experience programming GPUs with CUDA, SYCL, HIP or OpenMP
Experience using and developing code with AMReX
Experience in performance engineering to improve code scalability and reduce time-to-solution
Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Postdoctoral
Postdoctoral Appointee
Long-Term (Fixed Term)

This listing is sourced directly from ARGONNE's careers page and normalized into a canonical job model.