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environment. Collaborative team orientation and willingness to learn. Basic Qualifications: BS/BA degree in Human Resources, Business Administration, or a related field. Attainment by May of 2026 and applicants
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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modeling, multiscale approaches) to support materials development and manufacturing process understanding. Use AI, machine learning, and data-driven methods as enabling tools to accelerate experimentation
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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environments for several hours at a time; lifting equipment up to 30 lbs) Ability to proactively work independently and as part of a team Demonstrated ability and willingness to acquire new knowledge and learn
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to numerical methods for kinetic equations. Mathematical topics of interest include high-dimensional approximation, closure models, machine learning models, hybrid methods, structure preserving methods, and
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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personally responsible for ensuring safe operations, raising safety concerns, using a questioning attitude, considering hazards for every task and where learning never stops. Continually seek ways to increase
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learned sent to designer staff. Works with US ITER document Control Center to ensure accuracy and completeness of drawings and other engineering design documents in the DCC system Provides other functions
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. Stakeholder and External Engagement Serve as a resource to internal and external stakeholders, communicating best practices, lessons learned, and challenges related to operations. Participate in national and