Postdoctoral Appointee-Developing an Exascale MuPhFASa (Multi Phase Flow Adaptive Simulator) jobs in United States
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Argonne National Laboratory · 22 hours ago

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

positionLemont, IL
timeFull-time
remoteOnsite
seniorityNew Grad, Entry Level
money$73K/yr - $121K/yr

Argonne National Laboratory is focused on accelerating scientific discoveries through advanced computing facilities. They are seeking a postdoctoral appointee to develop computational fluid dynamic tools for exascale computing, enhancing simulations on the Aurora supercomputer using advanced methodologies and collaboration with the CPS division.

EnergySecuritySocial Impact
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Culture & ValuesbadNo H1BnoteSecurity Clearance Requirednote

Responsibilities

Develop a massively parallel solver capable of running simulations on the Aurora supercomputer using AMReX and the lattice Boltzmann method (LBM)
Develop flow/geometry-aware refinement strategies that create physics-based adaptation algorithms for simulations
Leverage AMReX and the LBM to develop an integrated framework for advanced workloads including simulations with in-situ visualization and machine learning integration

Qualification

CFD developmentLattice Boltzmann methodHigh performance computingParallel programmingC/C++/Python proficiencyTwo-phase/multi-phase flowsAMReX developmentPerformance engineeringCommunication skillsTeamwork

Required

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
Experience in numerical methods and CFD development using mesh-based scientific codes
Expertise in the lattice Boltzmann method (LBM) as evidenced by their publications
High performance computing (HPC) experience in code development with parallel programming techniques using the message passing interface (MPI) library
Proficiency in writing code with C, C++ and/or Python
Ability to demonstrate strong written and oral communication skills
Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork

Preferred

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

Benefits

Comprehensive benefits are part of the total rewards package.

Company

Argonne National Laboratory

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Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
dateFounded in 1946
location
Lemont, Illinois, USA
people-size1001-5000 employees
web-link
http://www.anl.gov/

Funding

Current Stage
Late Stage
Total Funding
$41.4M
Key Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant

Leadership Team

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Paul Kearns
Laboratory Director
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Venkat Srinivasan
Director, Argonne Center for Collaborative Energy Storage Science (ACCESS)
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