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such as federated learning. Provenance and Reproducibility Frameworks: Build systems that enable detailed provenance tracking, schema validation, and auditable workflows to ensure trustworthy and
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in condensed matter physics, materials science and engineering, or a closely related field completed within the last five years. Excellent track record in the physics of correlated materials
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field completed within the last five years. Good track record in scattering theory, quantum many-body theory, thermodynamics, statistical mechanics, or non-equilibrium physics. Experience in
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spectrometry, etc. An excellent track record of productive and creative research demonstrated by publications in peer-reviewed journals. Excellent written, oral, and interpersonal skills, as well as the ability
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, reports. Seek membership in professional, academic, and research organizations. Basic Qualifications: A PhD in computer science/engineering or relevant area with an education and a research track record in
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professional, academic, and research organizations. Basic Qualifications: A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage
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area with an education and a research track record in HPC/AI/edge systems and storage research within past five years. Preferred Qualifications: Ability to work independently to design and deploy methods
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assess responses of environmental systems at the environment-human interface and the consequences of alternative energy and environmental strategies. Please contact Dr. Scott Painter (paintersl@ornl.gov