305 structural-engineering "https:" "https:" "https:" "https:" "https:" "Washington University in St" positions at Oak Ridge National Laboratory
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
-state physics, ferroelectrics and/or 2D materials. Strong background in developing and/or applying materials simulation methods, such as atomistic simulations using electronic-structure and/or machine
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the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD), at ORNL. MSTD is central to ORNL’s world-leading research and development of innovative design, processing, and tailoring
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professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division
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Requisition Id 15588 Overview: The Materials Science and Technology Division of the Physical Sciences Directorate at Oak Ridge National Laboratory (ORNL) invites applications for a research staff
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developing closed-loop optimization strategies for growth conditions, defect engineering, and in-situ diagnostics. Integrate simulations, theory, and experiment by developing workflows that combine atomistic
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requirements. Under the guidance of senior research scientists, the selected applicant will take roles on multidisciplinary teams supporting new research and engineering using ORNL’s Frontier exascale
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in duration and offers service members an opportunity to transition into challenging assignments in areas such as: Engineering (Electrical, Mechanical, Nuclear, etc.) Facilities and Operations
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Requisition Id 15489 Overview: The Analytics and AI at Scale (AAIMS) group under Advanced Technology Section (ATS) of NCCS is hiring two postdoctoral research associates to push the frontier
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. Basic Qualifications: A BS in science, engineering, or related field with 8 to 12 years of quality experience. An equivalent combination of education and experience may be considered. Experience in
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to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers, and disseminate innovative results through