4 big-data-machine-learning-phd positions at Oak Ridge National Laboratory in engineering
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, orchestrating large-scale investments and partnerships, and positioning ORNL as the national leader in geospatial HPC, data infrastructure, and emerging computing paradigms (edge compute, neuromorphic, quantum
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analytics, including correlation analysis and machine learning techniques. Preferred Qualifications: Experience with microstructure characterization techniques (SEM, EBSD, TEM, XRD). Experience in mechanical
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data processing and multigroup cross-section generation tools such as AMPX or NJOY. Experience applying artificial intelligence, machine learning, or surrogate modeling methods to nuclear engineering or
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Qualifications: Advanced degree (MS or PhD) in Computer Science, Data Science, Geospatial Science (GIS/remote sensing), Electrical/Computer Engineering, or a closely related discipline. Minimum of 10–12 years