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advanced computational approaches, software engineering, high-performance computing, and an understanding of materials science, with an emphasis on metallurgy related to phase transformations and/or
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Requisition Id 15764 Purpose The Glenn T. Seaborg Initiative (GTSI) of Oak Ridge National Laboratory (ORNL) is committed to enhancing and maintaining US capabilities in actinide science and
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Physical Sciences, such as Geochemistry, Chemistry, Geology, Materials Science, or related disciplines completed within the last 5 years. Strong background in atomic-scale simulation. Preferred
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national security, proliferation detection, and nuclear forensics applications. This position resides in the Collection Science and Engineering Group in the Material Characterization and Modeling Section
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of correlated quantum materials driven far from equilibrium, enabling discoveries into phenomena such as entanglement evolution, transient states and dynamical phase transitions in quantum spin and itinerant
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physics, materials science, applied mathematics, computer science, or a related field, and no more than five years of experience beyond PhD. Preferred Qualifications: Background in quantum magnetism
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: To be eligible you must have completed a PhD in materials science, chemistry, physics, engineering, or a related field with in the last 5 years. Visa sponsorship is not available for this position
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Requisition Id 15658 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
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, high-performance computing (HPC), and computational sciences. Major Duties/Responsibilities: Participate in: (1) design and implementation of scalable DL algorithms for atomistic materials modeling
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applications. You’ll help design, train, and evaluate AI systems that plan, reason, and take actions to accelerate scientific discovery across domains (materials, chemistry, climate, fusion, biology, and more