Theory and Simulation of Polymers and Other Soft Materials
This grant supports theoretical and computational research on soft materials like polymers, focusing on self-assembly, structure, dynamics, and advanced modeling techniques.
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: Stipend approximately $82,764 per year plus $3,000 travel allowance; typical appointment duration 2 years.
Summary: Supports postdoctoral theoretical and computational research on soft materials such as polymers, focusing on self-assembly, structure, dynamics, and advanced modeling techniques at NIST.
Key Information: Open to U.S. citizens with a Ph.D. earned within the last 5 years; requires contacting a Research Adviser prior to application; NIST participates in February and August review cycles only.
Description
This fellowship opportunity under the NRC Research Associateship Programs supports postdoctoral researchers conducting theoretical and computational studies of soft materials, including polymers, dense liquids, glasses, colloids, and liquid crystals. Research topics of interest include:
- Guided- and self-assembly of nanostructures into complex, functional arrangements
- Characterization of emergent spatial patterns in slow dynamics of disordered structures
- Filled and nanofilled polymers
- Controlling fabrication and processing of mesoscale structure in blends
- Deformation and flow of amorphous structures and bulk metallic glasses
- Emergence of nanoscale structure and self-assembly in soft materials
- Multiscale modeling, acceleration algorithms, grid-based computing, and massively parallel simulation
- Molecular dynamics, Monte Carlo, and time-dependent Ginzburg-Landau methods
- Development and application of computational materials science techniques and tools for soft materials
The research is conducted at the National Institute of Standards and Technology (NIST) in Gaithersburg, MD, within the Material Measurement Laboratory, Materials Science and Engineering Division. Awardees have access to state-of-the-art computational resources at NIST’s Theoretical and Computational Materials Science and Information Technology Laboratory.
