Exascale CFD Postdoc: LBM Solver & AMReX Expert

Argonne National Laboratory; United States; On-site; USD 72,879 - 121,465; Full time

Job summary

Argonne National Laboratory is seeking a postdoctoral appointee to develop advanced computational fluid dynamic tools aimed at enhancing accessibility to exascale computing. The successful candidate will design a massively parallel solver for simulations on the Aurora supercomputer, leveraging methods such as the lattice Boltzmann method.

This role contributes significantly to the computational science community and aims to refine advanced workloads. A Ph.D. in a related discipline and strong programming skills in C, C++, or Python are required.

Qualifications

• Recent Ph.D. in a relevant field.
• Experience in CFD development using mesh-based scientific codes.
• Expertise in the lattice Boltzmann method with publications.

Responsibilities

• Develop computational fluid dynamic tools that enhance exascale computing accessibility.
• Design a massively parallel solver for the Aurora supercomputer.
• Create flow/geometry-aware refinement strategies.

Skills

Numerical methods

CFD development

High performance computing (HPC)

C, C++, and/or Python proficiency

Strong written and oral communication skills

Education

Ph.D. in mechanical, aerospace, chemical engineering, applied mathematics, or related discipline

Tools

MPI

CUDA

SYCL

HIP

OpenMP

AMReX

Job description

Argonne National Laboratory is seeking a postdoctoral appointee to develop advanced computational fluid dynamic tools aimed at enhancing accessibility to exascale computing. The successful candidate will design a massively parallel solver for simulations on the Aurora supercomputer, leveraging methods such as the lattice Boltzmann method.

This role contributes significantly to the computational science community and aims to refine advanced workloads. A Ph.D. in a related discipline and strong programming skills in C, C++, or Python are required.