Using computational models, this project aims to design new materials with improved properties by tuning their electronic, thermal, and optical characteristics.
NRC Research Associateship Programs has archived this opportunity.
Funder: NRC Research Associateship Programs
Due Dates: May 1, 2025 (Application deadline)
Funding Amounts: $99,200 stipend plus $3,000 travel allowance; relocation assistance and health insurance available. Typical award duration 2-3 years.
Summary: Postdoctoral fellowship at the Naval Research Laboratory to develop theoretical computational models for designing novel materials with improved electronic, optical, and thermal properties.
Key Information: Open to U.S. citizens and permanent residents; applicants must have a Ph.D. and be within 5 years of degree; requires contacting research adviser prior to applying.
This postdoctoral fellowship opportunity at the Naval Research Laboratory (NRL) focuses on computational materials design and engineering. The research aims to develop theoretical models that establish structure-property relationships to enable the design of novel materials tailored for specific applications. The work involves investigating properties of bulk materials, alloys, and interfaces, including their transport properties as influenced by defects and impurities.
The primary goal is to tune electronic, thermodynamic, and vibrational properties of materials, interfaces, and alloys to achieve enhanced optical, electronic, and thermal performance. Researchers will employ a broad range of theoretical and computational methods such as density functional theory (DFT), molecular dynamics (MD), and finite element methods to calculate material properties and assess the impact of materials engineering on device performance.
Collaboration with leading experimental groups, particularly at NRL, is a key component of this research. The fellowship provides an opportunity to work at the forefront of materials science, including areas like semiconductors, 2D materials, thermoelectrics, and device simulation.