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software. Experience programming with MATLAB, C++, or Python. Experience in modeling electric motors and electromagnetics. Hands-on experience designing and fabricating electric motors. Strong knowledge
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physics-informed and physics-ML hybrid approaches that integrate domain knowledge with data-driven methods to advance hydrological process understanding and prediction. Conduct multimodal, multiscale data
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. Knowledge of motor control techniques used in motor drive systems. Knowledge of motor drive modulation techniques and their impact on motor design. Knowledge of position feedback systems and their integration
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the final candidate’s qualifications and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group. It is not typical for an individual to be
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of Conduct. Our full code of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Deliver ORNL’s mission by aligning behaviors, priorities
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broad knowledge of ORNL requirements and processes related to ES&H, Production, Quality Assurance, procurement/contracts, construction/maintenance, and Security. Experience with supply chain management
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(https://www.olcf.ornl.gov/frontier ) and plant phenotyping (https://www.ornl.gov/appl ). GPTgp is a pilot project initiated in September 2025 with funding from the US Department of Energy and will
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expected to collaborate closely with industry partners to implement the resulting gained knowledge and advanced technologies at U.S. manufacturing facilities to achieve real-world energy and emissions