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Biophysical and Biomedical Measurement Group, National Institute of Standards and Technology | Gaithersburg, Maryland | United States | 2 months ago
the Biophysical Metrology and Inference program at NIST, which develops interpretable measurement approaches, physical models, and data-analysis methods to connect biological signals to quantitative mechanism and
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the surrogate forward models with a Bayesian inverse modeling framework to achieve real-time or near-real-time uncertainty quantification, such that we can efficiently resolve the uncertainties rising from rock
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have gone on to tenure-track positions in academia. The full job description is available, here: https://blueprintlabs.mit.edu/careers/ Job Requirements REQUIRED: PhD in economics, education, public
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, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control and Dynamic Programming. Appointment, salary, and benefits. The appointment period is two years
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simulations, density functional theory (DFT), molecular simulations, or machine-learning potentials. Experience with generative AI, active learning, uncertainty quantification, Bayesian optimization
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized
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Josh Angrist, and collaborators at other universities. Previous Blueprint Postdoctoral Associates have gone on to tenure-track positions in academia. Blueprint uses data and economics to uncover
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, ICRA/IROS, AIED). DESIRABLE: Experience deploying learning systems with real users, sim-to-real for robots, classroom/online-platform deployment of adaptive tools, or efficient on-device inference
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; experience working with a range of observational data sets of atmospheric composition such as ground based and remote sensing measurements; and an emerging strong track record of scientific output