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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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RAP opportunity at National Institute of Standards and Technology NIST Nondestructive Evaluation of Additively Manufactured Alloys Location Material Measurement Laboratory, Applied Chemicals and
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Robotic Systems for Smart Manufacturing Program is developing the measurement science needed to enable manufacturers to characterize and understand the performance of robotics systems within
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via laboratory testbeds, numerous machining centers, and a nanoscale science center. Furthermore, NIST provides computational resources and has an interest group for AI that regularly meets, giving
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adoption of this manufacturing technology—especially for critical applications that require qualification and certification—increasingly require that computational models and in-situ monitoring
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RAP opportunity at National Institute of Standards and Technology NIST Developing Novel Additive Manufacturing Processing Methods Location Material Measurement Laboratory, Materials Science and
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certification of AM components. This NRC postdoctoral research opportunity builds on ongoing efforts at the Materials Measurement Science Division of the National Institute of Standards and Technology. The
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provides computational resources and has an interest group for AI that regularly meets, giving the successful applicant an opportunity to interact with a variety of NIST engineers and scientists. Smart
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RAP opportunity at National Institute of Standards and Technology NIST Fatigue and Fracture of Metallic Materials Processed via Additive Manufacturing Location Material Measurement Laboratory
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NIST only participates in the February and August reviews. Additive manufacturing (AM) is a rapidly growing technology, but its commercial adaptation to ceramic-based materials lags behind