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Requisition Id 16703 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges
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for extreme-scale, heterogeneous computing. This role sits at the intersection of compiler infrastructure, formal verification, runtime systems, and hardware/software co‑design—expanding into emerging paradigms
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Consortium capabilities in materials extraction from alternative resources—both vital to U.S. economic and energy security goals. This incumbent will work in close collaboration with other researchers from
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this role, the postdoctoral researcher will focus on developing foundation models for fluid and plasma dynamics, including aerodynamics, turbulence, and edge/scrape-off-layer transport. This will involve
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in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). The selected candidate will work with multiple other groups within
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of Quantum Monte Carlo (QMCPACK, PYQMC) density functional theory (e.g. QE, VASP, PYSCF) and associated models to describe various properties of DOE-relevant quantum materials. The Materials Theory Group has a
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is expected to work closely with Addis Fuhr and P. Ganesh. As part of our research team, you will be working with a highly interdisciplinary team of scientists at the CNMS, MSTD and across other
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Laboratory (ORNL). The selected candidate will work in a highly collaborative environment, leveraging state-of-the-art neutron and X-ray characterization facilities to develop a mechanistic understanding of
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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in Mechanical
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modeling and networked biological systems. You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing