270 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" uni jobs at Oak Ridge National Laboratory in United States
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system and maintenance information. Support and implement the F&O directorate strategic predictive operations plan. Provide input into the development of program sustainability. Deliver ORNL’s mission by
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Domestic Uranium Enrichment Centrifuge Experiment (DUECE) by technically leading the multi-disciplinary IPT’s responsible for research, development, and design of specific sub-systems within the enrichment
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and projects, specifically leading in the development of CNMS Theme Science and User Program development. Plan and lead new major research programs, developing new research proposals and establishing
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of the IOSD OT/ICS Team. Training and Knowledge Sharing: Support the development of in-house expertise by training staff on control system functions, configuration awareness, and troubleshooting procedures
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: PhD in Nuclear Engineering, Mechanical Engineering, Thermal-Mechanics, Fluids, or a closely related field. Experience in the development and application of complex engineering codes and preferable
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closely with the Neutron Instruments Technologies Section Head to implement the group’s vision and working strategy; foster and support group members in their career development; plan and execute projects
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to comply with nuclear facility and radiation handling guidelines. Oversee prototype development, testing, troubleshooting, and iterative improvement of advanced robotic systems. Maintain comprehensive
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to comply with nuclear facility and radiation handling guidelines. Oversee prototype development, testing, troubleshooting, and iterative improvement of advanced robotic systems. Maintain comprehensive
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Requisition Id 15492 Overview: 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 most pressing challenges
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expected to contribute to the development and application of advanced manufacturing simulations, and machine learning (ML) models relevant to additive manufacturing, virtual manufacturing, material