13 operations-research-postdoc Postdoctoral positions at Oak Ridge National Laboratory
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creatively in collaborative teams across the laboratory. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing
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techniques; and (3) developing advanced methods for inelastic neutron scattering data analysis and workflow automation. The postdoctoral researcher will work in close collaboration with Dr. Raphaël Hermann and
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research using atomic force microscopy Work as part of a dynamic team conducting research that advances and develops cutting-edge characterization capabilities to improve our understanding of nanomaterial
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fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Postdocs: Applicants cannot have received their Ph.D
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○ Research approach ● Proposed Seaborg Researcher candidate ○ Strength of candidate Successful candidates must be approved by the ORNL Postdoc Program before receiving funding and performing research. Final
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creative research proven by publications in peer-reviewed journals and presentations at major conferences. Excellent written and oral communication skills. Motivated self-starter with the ability to work
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needs as well as the proven ability to function well in a fast-paced environment. Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must
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to participate creatively in collaborative teams across the laboratory. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and
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relevance to clean energy, climate resilience, and infrastructure planning. Postdocs benefit from access to world-leading high-performance computing facilities and a deeply interdisciplinary research
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postdoctoral research associate to advance the state of scientific AI by addressing cross-cutting challenges in data readiness for AI to enable scalable, reproducible AI workflows on leadership-class systems