Postdoctoral Researcher
1 week ago
Argonne National Laboratory is seeking a highly skilled Postdoctoral Appointee to work at the intersection of scientific machine learning (SciML) and large-scale simulation codes.
Job Summary:The successful candidate will engage with projects that integrate machine learning (ML) components into partial differential equations (PDE)-based simulations, enabling ML algorithms to function as part of the simulation framework. This role involves coupling simulations with ML, allowing for simultaneous training of these components within the simulation environment.
Key Responsibilities:- Design ML kernels as local operators, embedding them within large-scale simulation codes.
- Explore the use of advanced solvers like PETSc for these developments, expanding their SciML applicability to a wider range of scientific applications.
- Collaborate with scientists from multiple domains to enhance simulation speeds and accuracy through ML techniques.
- Ph.D. (completed within the last 0-5 years) in applied mathematics, physics, computer science, mechanical engineering, aerospace engineering, or similar fields.
- Experience contributing to scientific software in C, C++, Python, or comparable languages.
- Strong background in computational fluid dynamics (CFD), machine learning (ML), and high-performance computing (HPC).
- Collaborative skills, including working well with other scientists, divisions, laboratories, and universities.
- Effective oral and written communication skills with all levels of the organization.
- Demonstrated experience with parallel algorithms, for example, using frameworks like MPI, OpenMP, CUDA, Kokkos, SYCL, or similar.
- Demonstrated experience running applications at scale (> 50 computing nodes).
- Experience with PETSc (or other scientific libraries used as external solvers) and its integration with ML frameworks such as PyTorch.
Argonne National Laboratory is an equal employment opportunity and affirmative action employer, committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. We encourage minorities, women, veterans, and individuals with disabilities to apply for employment.
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