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candidate will manage several projects concurrently, help shape new research directions within their field, and collaborate closely with ORNL staff, industry professionals, and academic partners. Based within
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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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engineering, engineering physics, or related field completed within the last 5 years. Experience with Python, C, and/or C++ applied programming. Demonstrated experience in applying and extending CFD codes
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compliance with ORNL’s safety, security, quality, and environmental standards while carrying out all research activities. Technical Questions: Please contact Dan Lu [email protected] Basic Qualifications: A Ph.D
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, Chemistry (i.e., Analytical, Physical), or a related field completed within the last 5 years. Demonstrated skills and hands-on experiences with advanced materials characterization equipment and/or data
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efficient techniques that maintain robust privacy guarantees while minimizing performance impact. Additionally, you will optimize the balance between privacy and utility, addressing the challenges
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related field completed within the last 5 years. Experience utilizing computational thermodynamic (CALPHAD) software, such as Thermo-Calc, DICTRA, PANDAT, or FactSage. Proficiency in materials data
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. Basic Qualifications: Ph.D. in organic or inorganic or polymer chemistry, materials science or a related field completed within the last 5 years. Preferred Qualifications: Background in separations
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related field completed within the last 5 years. Preferred Qualifications: A strong foundation in separation and purification science, materials chemistry and engineering, polymer chemistry, or related
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research and development in the areas of gauge field generation, linear and eigen-solvers, or novel analysis methods. This position will reside in the Advanced Computing for Nuclear, Particle and