Argonne National Laboratory · 13 hours ago
Postdoctoral Appointee - Exascale Molecular Simulations
Argonne National Laboratory is a multi-disciplinary research institution offering world-class opportunities in High-Performance Computing. They are seeking a postdoctoral researcher to enable exascale atomistic simulations of ferroelectric devices, focusing on developing novel parallel algorithms for large-scale molecular dynamics simulations.
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Responsibilities
Enable exascale atomistic simulations of ferroelectric devices
Develop novel parallel algorithms to facilitate in-situ analyses at-scale for multi-million and multi-billion atom simulations
Enhance the performance and scalability of large-scale molecular dynamics simulations using machine-learned potentials through algorithmic improvements, code parallelization, performance analysis, and use of novel architectural features
Collaborate extensively across computing divisions and with industrial and university partners
Qualification
Required
Ph.D. (completed within the last 0-5 years) or equivalent experience in a computational science discipline, computer science, or in a related field
Strong programming skills in one or more scientific programming language, such as C++ and Python
Experience in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP
Experience with scientific computing and software development on HPC systems
Ability to conduct independent research and demonstrated publication record in peer-reviewed journals and conferences
The successful candidate will be expected to work with and contribute to open-source projects and community-driven initiatives within computational science
Effective communication skills, both verbal and written, for effective collaboration with interdisciplinary teams and clear presentation of complex technical information
Ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork
Preferred
Experience with large-scale molecular dynamics (MD) simulations using software, such as LAMMPS, and machine-learned potentials
Experience in GPU programming with Kokkos
An understanding of computer architecture and experience in the analysis and improvement of applications performance
Benefits
Comprehensive benefits are part of the total rewards package
Company
Argonne National Laboratory
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
Funding
Current Stage
Late StageTotal Funding
$41.4MKey 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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