Langley Research Center
Hampton, VA 23681
|Field of Science||Aeronautics, Aeronautical or Other Engineering|
|Advisor|| William Kyle Anderson
Lawful Permanent Residents Accepted
Foreign Nationals Accepted
A candidate is sought to conduct research on adaptive algorithms for continuous and discontinuous finite-element schemes. The objective is to develop capability for locally varying the spatial order-of-accuracy and mesh density for steady-state and time-dependent applications, to provide solutions with quantitatively known and controllable levels of error.
Computational simulations based on the numerical simulation of nonlinear partial differential equations are heavily relied on for many scientific and engineering programs within NASA. Success of these programs requires significant increases in the understanding of fundamental physics, as well as the continued development of engineering tools for the analysis and design of aerospace vehicles. While significant simulation capability exists, it is typically too computationally expensive to conduct systematic grid-convergence studies that are necessary to provide confidence that the discretization errors are minimized and well understood. The need for quantitative error control is particularly important for scientific and engineering applications that are dissimilar from previous studies, where an existing knowledge base has not been previously established.
To address these issues, NASA is seeking a candidate to conduct leading-edge research to advance the state-of-the-art for adaptive algorithms, while also providing capability within existing NASA simulation codes that are currently used in many Agency programs. Examples of research topics may include error estimation, load balancing on High-Performance Computing (HPC) platforms, applications using Reynolds-averaged Navier-Stokes (RANS), Detached Eddy Simulations (DES), Large Eddy Simulations (LES), acoustics, multidisciplinary applications, and coupling with ongoing work to provide access to geometry in a distributed environment. Other areas of research related to high-order adaptive algorithms may also be considered. The post-doctoral candidate must meet the following requirements: PhD degree in engineering, computer science, physics, or equivalent.