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training algorithms and AI architecture Image reconstruction, segmentation, and classification High performance computing for spatiotemporal data Major Duties/Responsibilities: Develop foundation AI models
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success. Basic Qualifications: A PhD in civil, electrical, environmental, or mechanical engineering, or equivalent. A minimum of 1 years of experience in development and testing of algorithmic tools for non
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discovery with a strong emphasis on domain-driven impact. Develop, optimize, and transition algorithm prototypes to robust implementations Work with ORNL researchers, as well as internal and external project
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: Develop electromagnetic transient models for bulk power systems, power electronics-based resouces (e.g. HVdc, solar PV inverters), synchronous generators, loads, etc. Develop simulation algorithms
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environment that promotes rapid innovation and attracts skilled professionals. Leveraging a 75-plus-year UT-ORNL partnership, UT and ORNL have developed joint institutes, joint facilities, interdisciplinary PhD