2 bayesian-structure positions at NIST

Machine Learning for Materials Discovery and Optimization Applications

NIST | Gaithersburg, Maryland | United States | about 2 months ago

guiding materials measurement experiments to acclerate learning the synthesis-process-structure-property relationship. Machine learning methods include, but are not limited to, Bayesian inference

Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization

NIST | Gaithersburg, Maryland | United States | about 2 months ago

characterization tools for closed loop experiment design, execution, and analysis, where experiment design is guided by active learning, Bayesian optimization, and similar methods. A key challenge is the integration