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facilities Develop robust data pipelines and frameworks using Python and modern data technologies suitable for high-performance and distributed computing environments Apply ontology engineering and semantic
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Basic Qualifications: A PhD in Mechanical Engineering, Computer Science, or a related field Published technical work in journal articles Presentation experience at conferences Preferred Qualifications
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. This position resides in Systems Engineering and Cybernetics Group in the Computational Sciences & Engineering Division of the Computing & Computational Sciences Directorate at Oak Ridge National Laboratory (ORNL
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Characterization Section of the Center for Nanophase Materials Sciences (CNMS), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). As part of our research team, you will investigate
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the fundamental engineering understanding of gas centrifuge systems. The group leverages analytical techniques and advanced computational tools—including finite element analysis (FEA)—to evaluate and predict
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energy, science, and technology. Leveraging a 75+ year UT–ORNL collaboration, UT-ORII supports convergent research, joint institutes, interdisciplinary PhD programs, and leadership development
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in Mechanical Engineering or a related discipline completed within
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collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational
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. Basic Qualifications: A PhD in materials science and engineering or a related discipline completed within the last five years. A strong background in physical metallurgy Preferred Qualifications
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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section