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RAP opportunity at National Institute of Standards and Technology NIST Modeling Complex Microstructures Location Information Technology Laboratory, Applied and Computational Mathematics Division
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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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Description We are seeking a NIST postdoctoral Fellow within the Materials Measurement Science Division . This postdoc will be a key member of a new project to develop an autonomous platform for developing and
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RAP opportunity at National Institute of Standards and Technology NIST Development of New Computational Methodologies for Molecular Simulation of Soft Materials Location Material Measurement
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computational methods (such as prior probability or creating a validated material-specific mass spectral library) and experimental methods (such as the use of isotopic labeling methods or orthogonal information
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new measurement capabilities, standards, or applications or improve existing methods for reference artifact calibration. For more information, see https://www.nist.gov/pml/sensor-science/dimensional
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mass spectrometry; and advanced chemometric tools for the analysis, interpretation, and comparison of complex metabolomic data sets. https://www.nist.gov/programs-projects/metabolomics-quality-assurance
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Computer-based tools, including the NIST Alternatives for Resilient Communities model, or NIST ARC, are being developed to support community resilience planning [1, 2, 4]. The goal of NIST ARC is to
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be generating terabytes of image data per day, there are several open research problems that would become the research focus of a postdoctoral candidate. The problems include (a) finding optimal
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controls. The position will require programming skills, mostly with Python. To understand the vision of beamline operations inspiring this opportunity, see these two recent publications: https://doi.org