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on resilience, data analytics, protection, and EMT simulation research. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s
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presentations in large public forums Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity
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manage large technical projects related to advanced manufacturing. Guide and mentor students and interns. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of
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scientific computing. Experience running large-scale excited-state simulations on HPC platforms. Excellent record of productive and creative research as demonstrated by publications in peer-reviewed journals
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objectives. Basic Qualifications: A Ph.D. in materials science, physics, chemistry, nuclear engineering, or related disciplines. Preferred Qualifications: Experience with ellipsometry Experience with data
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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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, analyzing data from complementary techniques such as scanning microwave impedance microscopy, Kelvin probe force microscopy, and cathodoluminescence, as well as collaborating with theorists for data-model
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://www.ornl.gov/directorate/isotopes for more information about ISED. This position resides within the Target Design, Analysis, and Qualification (TDAQ) group in the Radioisotope Production Engineering and Analysis
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. Sensing, Machine vision, image processing and data fusion. Inline manufacturing process monitoring and control. Major Duties/Responsibilities: Develop foundation AI models under various projects. Develop
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objectives. Basic Qualifications: A Ph.D. in materials science, physics, chemistry, nuclear engineering, or related disciplines. Preferred Qualifications: Experience with ellipsometry Experience with data