Data Analytics and Modeling for Analytical Chemistry
Develop new data analysis and modeling techniques for analytical chemistry methods, using instruments like chromatography and mass spectrometry.
This grant is no longer accepting proposals
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: May 1, 2025 (Application Deadline)
Funding Amounts: Stipend approximately $99,200 per year plus $3,000 travel allowance; relocation assistance available. Typical tenure 2-3 years.
Summary: Supports postdoctoral research developing novel data analytics and modeling methods for analytical chemistry using chromatography and mass spectrometry instrumentation.
Key Information: Open to U.S. citizens and permanent residents; requires contacting Research Adviser prior to applying; health insurance provided; relocation assistance for those living >50 miles from host lab.
Description
This fellowship opportunity at the Naval Research Laboratory (NRL) in Washington, DC, supports postdoctoral research focused on developing innovative data analytics, modeling methods, and metrics to advance analytical chemistry techniques. Research projects emphasize analytical methods for chemical synthesis, automation of chemical and bioinformatics workflows, and development of analytical methodologies.
The work involves utilizing advanced instrumentation such as gas and liquid chromatography coupled with mass spectrometry, and may also include ion chromatography, ion mobility spectroscopy, and other analytical tools. Applicants are expected to have the willingness and capability to gather and analyze data from these instruments.
The research aims to improve analytical chemistry through machine learning, numerical modeling, and chemometrics, contributing to enhanced selectivity and performance of sensor arrays and analytical workflows.
