44 phd-computer-science-fully-funded Postdoctoral positions at Oak Ridge National Laboratory
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, industrial engineering, electrical engineering, environmental
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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other domain experts to facilitate collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer Science
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another, work together, and measure success. Basic Qualifications: A PhD in Geology, Chemistry, Geochemistry, Radiochemistry, Cosmochemistry, Biochemistry, or a related field completed within the last 5
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Qualifications: A PhD in condensed matter physics, material science, computational science, or a related field. Preferred Qualifications: Basic understanding of x-ray or neutron scattering is desirable but not
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a PhD in chemical engineering, nuclear engineering, or another relevant field. Experience in designing and conducting high temperature experiments for property characterization, high temperature
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Postdoctoral Research Associate - Energy materials synthesis and exploration with neutron scattering
: A PhD in material science, chemistry, or related field completed within the last 5 years. Preferred Qualifications: Basic understanding of synchyrotron x-ray or neutron diffraction/scattering is
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require close collaboration with members of the Neutron Technologies Division, the Neutron Scattering Division and the Computer Science and Mathematics Division, as well as project members from other DOE
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manufacturing (AM) processes. This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science