83 requirements-engineering "https:" "https:" "https:" "https:" "UCL" Postdoctoral positions at Oak Ridge National Laboratory
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. Publish scientific results in high-impact peer-reviewed journals in a timely manner. Ensure compliance with environment, safety, health and quality program requirements. Maintain strong dedication
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, and measure success. Basic Qualifications: PhD in Plasma Physics, Electrical Engineering, Nuclear Engineering, or a closely related field completed within the last 5 years, or expect to complete a PhD
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. Represent ORNL and the Learning Systems Group by giving talks at public forums (conferences, workshops, guest lectures, etc.). Basic Requirements: Ph.D. in Computer Engineering, Electrical Engineering
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engineering, mechanical engineering, or a field relevant to the job duties within the past 5 years. A strong background in mechanical behavior of materials is required. Experience in the development and
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imaging of cells and tissues. This position resides in the Quantum Computing and Sensing Group in the Computational Science and Engineering Division (CSED), Computing and Computational Sciences Directorate
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phenomena of nuclear reactor fuel cladding and core internal materials. Strong materials characterization skills are required. This position resides in the Fuel Cladding and Core Internals (FCCI) Group in
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the Energy Systems Integration section, Electrification and Energy Infrastructure Division, Energy Science and Technology Directorate, at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities
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, Electical Engineering, or a related discipline obtained within the last five years. A minimum of 3 years of experience in modeling and optimizing complex engineering system is required. Demonstrated
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Science and Technology Directorate at Oak Ridge National Laboratory (ORNL). Our research team carries out high-quality R&D focused on the development of new, high performance, lower-cost, domestically
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on modern accelerators. Sparse and constrained tensor decompositions — CP- or Tucker-type factorizations, constrained least-squares solvers, or scalable tensor kernels. GPU performance engineering — CUDA/HIP