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Requisition Id 16127 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply electronic structure theory approaches to examine the fundamental properties of a range
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on using neutron scattering to probe the structure and dynamics of materials relevant to energy applications and/or structural materials. In particular, the work will aim to (1) understand how hybridized
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data (e.g., engineering diagrams), and predictive modeling Design and implement benchmarking and evaluation frameworks for emerging AI systems, ensuring reproducibility and scientific rigor Build
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and software tools for visualizing and analyzing materials characterization data Develop novel, data-driven materials characterization workflows Advance understanding of process-structure-property
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, particularly in environments relevant to medical isotope science and technology. Experience with radiation–matter interactions, including the impact of radiation on material properties, structure, and long-term
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the functional properties of novel ferroic material systems and correlate their nanoscale ferroelectric, ferroelastic, optical, and electrical responses with structure and environment, with relevance
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environment. They are supported with mentorship, conference travel, and opportunities to develop independent research directions and build professional networks. Oak Ridge and the greater Knoxville area offer
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to ORNL’s world-leading computational resources, including the Frontier supercomputer, and the chance to make meaningful contributions to DOE's mission-critical scientific domains. Roles and responsibilities
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structure and statistical mechanics codes, and data science tools would be highly desirable Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and
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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