NIST Numerical Methods in Chemical Spectroscopy and Materials Characterization
NIST grant aims to enhance chemical spectroscopy and materials analysis via computational methods like stochastic calculus and nonlinear programming.
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 | May 1, 2025 | August 1, 2025 | November 1, 2025
Funding Amounts: Base stipend approximately $82,764/year with $3,000 travel allowance; typical appointment duration is 2 years.
Summary: Postdoctoral fellowship at NIST to advance chemical spectroscopy and materials characterization using computational methods such as stochastic calculus, nonlinear programming, and computational statistics.
Key Information: Open to U.S. citizens with a doctoral degree earned within the last 5 years; requires close collaboration with experimentalists and handling of large data sets.
Description
This fellowship opportunity at the National Institute of Standards and Technology (NIST) focuses on improving spectroscopic measurements in chemistry and materials science through advanced computational methods. Research projects include:
- Application of stochastic calculus for spectrum analysis, including denoising and feature extraction.
- Use of nonlinear programming techniques to optimize instrument performance.
- Employment of computational statistics for spectral similarity assessment and library searching.
Measurement techniques involved cover mass spectrometry, nuclear magnetic resonance (NMR), and vibrational spectroscopy, among others. The successful candidate will work closely with experimentalists and manage large datasets to enhance measurement accuracy and analysis.
The program is part of the NRC Research Associateship Programs, which provide postdoctoral and senior research awards at federal laboratories, aiming to foster professional growth and high-quality research experiences.
