63 engineering-computation "https:" "https:" "https:" "https:" "Univ" research jobs at Oak Ridge National Laboratory in United States
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Computational/theoretical chemistry and/or physics, chemical engineering, materials or a closely related field completed within the last 5 years. Preferred Qualifications: Experience with coding, electronic
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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Ph.D. in electrical engineering
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the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak Ridge National Laboratory (ORNL) to work in the areas of life cycle energy impacts analysis, technoeconomic analysis
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, demand-flexible, and affordable buildings for the DOE Building Technologies Office (BTO), the Federal Energy Management Program (FEMP), and Office of State and Community Energy Program (SCEP). Major Duties
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national security, proliferation detection, and nuclear forensics applications. This position resides in the Collection Science and Engineering Group in the Material Characterization and Modeling Section
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materials that may serve as model systems displaying quantum behaviors. It will also provide opportunities for collaboration with quantum computing efforts within the Quantum Science Center, guiding and
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through papers, artifacts, and presentations at top-tier venues. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, a physical/computational science discipline (e.g., physics, chemistry
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to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers, and disseminate innovative results through
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across diverse clients. You will use Frontier's computational power to scale and validate these privacy-preserving algorithms, enabling breakthroughs across energy and image modeling domains. You will also
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purification of electrode or electrolyte systems and evaluation of their battery performance. The program will have a strong collaborative component with characterization (e.g. electron microscopy