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Opportunity at National Institute of Standards and Technology (NIST)

Uncertainty Quantification and Computational Materials Science

Location

Information Technology Laboratory, Applied and Computational Mathematics Division

RO# Location
50.77.12.B7897 Boulder, CO

Please note: This Agency only participates in the February and August reviews.

Advisers

Name E-mail Phone
Dienstfrey, Andrew Martin andrew.dienstfrey@nist.gov 303.497.7485

Description

We research and develop mathematical and statistical analysis for uncertainty quantification in scientific computing. Research focus areas include:

  1. Materials science including atomistic and continuum techniques.
  2. Magnetic resonance imaging for biomedical applications.
  3. Neural networks including both traditional and neuromorphic architectures.

This work is performed in close collaboration with NIST scientists to provide innovative analysis and simulations in support larger strategic programs. Computational tools must be accompanied by statements of their uncertainties in their outputs, and sensitivities to inputs to serve as consistent extensions of measurement uncertainty analyses as defined by NIST and its stakeholders. Research teams are multi-disciplinary.

Keywords:
Uncertainty quantification; Materials science; Machine learning; Neural networks; Computational physics; Numerical analysis;

Eligibility

Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral applicants
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