104 Engineering Postdoctoral positions at Oak Ridge National Laboratory in United-States
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and Engineering, Mechanical enginering, Nuclear engineering, or a related discipline Preferred Qualifications: Fundamental understanding of ceramic materials Experience with experimental data-informed
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Engineering Group in the Neutron Scattering Division (NSD), Neutron Sciences Directorate (NScD) at Oak Ridge National Laboratory (ORNL). This project will be focusing on utilizing an advanced neutron imaging
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data analysis. Under the mentorship of senior research staff, a selected applicant will take roles on multidisciplinary teams supporting ground breaking research and engineering with large-scale
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Communications and Networking Group with the Computational Science and Engineering Division (CSED), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL). Major Duties
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concepts and designs, for HFIR and SNS, and helping scientists and engineers at ORNL with neutron scattering instruments performance simulations. This position resides in the Neutron Instrument Development
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one another, work together, and measure success. Basic Qualifications: A PhD in civil engineering, electrical engineering, environmental engineering, mechanical engineering, or a related discipline
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). This position resides in the Materials Theory Group in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at ORNL. Major Duties/Responsibilities: Develop and use first
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measure success. Basic Qualifications: A PhD in chemistry, materials science, ceramic engineering, chemical engineering, or a closely related field completed within the last 5 years. A minimum of 2 years
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to compelling problems in energy and security. Our capabilities span a broad range of scientific and engineering disciplines, enabling the Laboratory to explore fundamental science challenges and to carry out
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/implications the technology is appropriate (paybacks, TCO, benefits, heat maps, efficiency gains, etc.) using novel big data sources and techniques Deep dive analytics on powertrain, vehicle and infrastructure