NIST Uncertainty Quantification and Computational Materials Science
NIST grant researches math/stats for uncertainty analysis in scientific computing, focusing on materials science, MRI, and neural networks.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: February 1, 2025 (NIST February Review) | May 1, 2025 (Close Date) | August 1, 2025 (NIST August Review)
Funding Amounts: $82,764 stipend plus $3,000 travel allowance; typical appointment duration is 2 years.
Summary: Postdoctoral fellowship at NIST focused on mathematical and statistical research in uncertainty quantification for scientific computing, emphasizing materials science, MRI, and neural networks.
Key Information: Open to U.S. citizens with a doctoral degree; requires collaboration with NIST scientists; multi-disciplinary research teams; applications require prior contact with a NIST Research Adviser.
Description
This fellowship opportunity at the National Institute of Standards and Technology (NIST) supports research in uncertainty quantification and computational materials science. The program focuses on developing mathematical and statistical methods to analyze uncertainties in scientific computing outputs and their sensitivities to inputs. Research areas include:
- Materials science, covering atomistic and continuum modeling techniques.
- Magnetic resonance imaging (MRI) applications in biomedicine.
- Neural networks, including traditional and neuromorphic architectures.
Fellows work closely with NIST scientists to provide innovative analyses and simulations that support larger strategic programs. The research aims to extend measurement uncertainty analyses consistent with NIST standards and stakeholder needs. The program encourages multi-disciplinary teams and innovative computational tools accompanied by uncertainty statements.
