80 phd-computer-science-fully-funded Postdoctoral positions at Oak Ridge National Laboratory
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a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD degree in materials science, nuclear, or mechanical engineering, or a related
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measure success. Basic Qualifications: A PhD in Chemistry, Physics, Materials Science or a related field completed within the last 5 years. Preferred Qualifications: Experience with interface battery
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separation science and technologies for energy applications. Support research and program-development activities in advanced separation and purification, including the recovery of critical materials used in
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communication and program management skills are required. This position resides in the Carbon Fiber Technology Facility (CFTF) and the work is performed at the Manufacturing Demonstration Facility (MDF) in
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, technical reports, and presentations. Seek membership and service opportunities in professional, academic, and research organizations. Basic Qualifications: A PhD in computer science/engineering or relevant
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specialists in organic and inorganic synthesis, coordination chemistry, thermodynamics, laser spectroscopy, materials characterization, chemical separations, computational chemistry, and nuclear chemistry. Our
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, industrial engineering, electrical engineering, environmental
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interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in Earth science, Ecology, Geography, Environmental Sciences, Geosciences, or a related field
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. Basic Qualifications: PhD in Chemistry, Materials Science & Engineering, Chemical Engineering, Polymer Science and Engineering, or a related discipline completed within the last five years and have a
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering Division (CSED