Computational Modeling Postdoctoral Research
at ORAU/ORISE DoD Programs

Date Posted: 11/30/2018

Opportunity Description

The application for this opportunity is now available on Zintellect, a custom-designed application system for all ORISE opportunities. To be considered for this opportunity, please apply at https://www.zintellect.com. To search and apply for other internships, experiential learning opportunities, academic fellowships and scholarships, please visit www.zintellect.com/. Computational Modeling Postdoctoral Research Two ORISE postdoctoral research opportunities are available with the US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory (USAERDC-CHL). CHL is seeking a postdoc participants to assist on a large multi-year research and development project on the development of computational modeling tools for fluid-structure interaction processes from coastal, hydraulic, geotechnical, arctic, and marine engineering applications. A wide range of skill sets are desired, including: computational fluid mechanics, computational solid mechanics, physics of granular materials/sediments, numerical analysis, parallel algorithms, verification & validation, computational geometry, mesh generation, scientific visualization, and human-computer interaction. Scientific and mathematical software development will be the primary focus of the larger group and ample opportunities for gaining software development skills will be provided through periodic training workshops and participation on software development teams with experienced computational scientists and engineers. The ideal candidate will have completed a PhD Civil Engineering, Mechanical Engineering, Coastal Engineering, Ph.D. This is a twelve month research opportunity, with the option to be renewed additional research terms. U.S. citizenship is required. To qualify for ORISE, the candidates should have completed their PhD within the past five years. The participant's research in engineering will extended to solving complex systems of nonlinear partial differential equations for multiphase flow and fluid-structure interaction in applications to floating and moored riverine and marine structures. Further, the research will have the opportunity to interact with experimentalists collecting validation data in on-site experiments and to conduct computational experiments on world-class supercomputers. The participant will also collaborate with a world-class R&D team in this important area of applied fluid dynamics and coastal and hydraulic engineering.

Opportunity Snapshot

About Us

Oak Ridge Associated Universities (ORAU) administers Science, Technology, Engineering and Mathematics (STEM) research participation programs for civilians such as:

The Oak Ridge Institute for Science and Education (ORISE) Program that allow senior scientists, faculty; high school, bachelor’s, masters’ and doctoral students, and recent graduates to enhance their science education experience in projects and activities at our Department of Defense (DOD) and other Government and Private Industry customers’ laboratories and research facilities worldwide.

The U.S. Army Research Laboratory (ARL) Research Associateship Program (RAP) allow Postdoctoral Fellows, Journeyman Fellows (undergraduate and graduates students and recent graduates), Senior Researchers, and Summer Faculty engage in research initiatives of their own choice, that are compatible with the interests of the government and will potentially contribute to the general effort of the ARL. Scientists and engineers at ARL help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs.

Research opportunities include, but are not limited to the following disciplines: Aerospace Engineering, Anthropology, Archeology, Biology, Biochemistry, Biological Engineering, Biomechanical Engineering, Biomedical Engineering, Chemical Engineering, Chemistry, Computer Science, Computer Engineering, Electrical Engineering, Environmental Health Risk Assessment, Environmental Science, Entomology, Epidemiology, Ergonomics, Geology, Health Education Mechanical Engineering, Materials Science, Mathematics, Nanotechnology, Photonics, Physics, Public Health Economics, Public Health Policy, and more.

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