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of Computational Materials Engineering (ICME) in an AI platform for industrial AM production. This research philosophy relies on a dual approach: Data Informatics & Analytics: Leading investigations into the root
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of materials science and engineering. The successful applicant would work with a team of experts including experimental materials scientists, computational materials scientists, machine learning experts
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gas emissions. References Wright JD, Johnson AN: NCSL International Measure 5: 30, 2010 Johnson AN, et al: ASME Journal of Fluids Engineering 128: 170, 2006 Gas and liquid flow measurement; Wind speed
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RAP opportunity at National Institute of Standards and Technology NIST Interface Engineering: Using Surface Chemistry to Impart Desired Properties Location Physical Measurement Laboratory
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research program focuses on engineering these nanoparticles with desired physical and chemical properties and specified functionality through wet-chemistry synthesis. We are particularly interested in
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of structural responses for performance-based seismic engineering of tall buildings. Opportunities include the following: (1) developing improved modeling and analytical capabilities for nonlinear dynamic
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requires expertise in Computer Science, Statistics, or a similar field. Experience with machine learning, genetics, and/or bio-informatics is strongly preferred. The postdoc will work together and within a
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with high-speed and energy-efficient InP and GaN chips. This research opportunity at NIST’s Communications Technology Laboratory is focused building the tools and techniques that are required to design
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RAP opportunity at National Institute of Standards and Technology NIST Engineered Quantum States of Light Location Physical Measurement Laboratory, Applied Physics Division opportunity location
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RAP opportunity at National Institute of Standards and Technology NIST Fire Dynamics and Fire Protection Engineering Location Engineering Laboratory, Fire Research Division opportunity location