35 phd-position-cloud-computing positions at Oak Ridge National Laboratory in material-science
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concepts and results to national audiences. This position resides within the Quantum Computational Science Group in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory
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test and participation in an ongoing random drug testing program. Hybrid Eligibility: For Hybrid eligible positions: In addition, we offer a flexible work environment that supports both the organization
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phenomena of nuclear reactor fuel cladding and core internal materials. Strong materials characterization skills are required. This position resides in the Fuel Cladding and Core Internals (FCCI) Group in
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performance and scalability both on-premise and in the cloud. • Provide reports as requested, such as major accomplishments or staffing per project. • Evaluate and document new tools/trends to set path forward
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Qualifications: A PhD in Computational Chemistry, Physics, Chemical Engineering, Materials Science and Engineering, or a related field completed within the last 5 years Experience in theoretical and computational
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DOE Q clearance and is designated as a Workplace Substance Abuse Program testing designated position. Workplace Substance Abuse Program positions require passing a pre-placement drug test and
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sponsors, program offices, partner organizations, and external stakeholders. Candidates must demonstrate humility and service-focused leadership that prioritizes mission and team success. This position
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: Ph.D. in Computer Science, Computer Engineering, or a field closely related to the job duties of this position. Demonstrated research in one or more areas of HPC or AI (e.g., large-scale training
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of ORNL researchers with various backgrounds (e.g., material science, neutron science, chemistry, manufacturing, computing, others). Interact and collaborate with researchers from universities, national
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of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as