NRL Computational Modeling and Simulation of Data-Driven Multiphysics Systems
The Navy seeks computational models and simulations for large physical systems, emphasizing speed, reduced order models, and adaptable software across diverse hardware.
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
Funding Amounts: $99,200 stipend plus $3,000 travel allowance; relocation assistance available for eligible awardees.
Summary: Supports postdoctoral research at the Naval Research Laboratory focused on computational modeling and simulation of data-driven multiphysics systems with emphasis on reduced order models, parallel algorithms, and heterogeneous computing environments.
Key Information: Open to U.S. citizens and permanent residents holding a doctoral degree; requires contacting a Research Adviser prior to application.
Description
This fellowship opportunity at the Naval Research Laboratory (NRL) supports postdoctoral research in the design and implementation of synthetic computational environments for simulation-based activities critical to the development, management, and maintenance of large physical systems. These systems include complex load-bearing structures and disaster-sensitive environmental or multiphysics systems.
Key research areas include:
- Development of reduced order and surrogate models to reduce computational time.
- Implementation of domain and time parallelism algorithms for solving coupled partial differential equations describing system physics.
- Utilization of heterogeneous hardware infrastructures ranging from hand-held portable devices to multi-core CPUs, GPUs, and computational GRID systems.
- Software development involving mobile agents, web/GRID services, legacy applications, and customizable meta-architectures.
- Emphasis on compositionality of aggregate computational units for visual-languages-oriented application synthesis environments.
Keywords: Compositional simulation, data-driven simulation, reduced order models, surrogate models, grid services, heterogeneous computational infrastructure, software agents.
