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- Location
- Anywhere
- Date Posted
- 6 Oct 2024
- Type
- PhD Program
- Anywhere
- 6 Oct 2024
Ph.D. Opportunity Applied Mathematics and Computational Science
NOTE: this position listing has expired and may no longer be relevant!
Position Description
Academic Field
Computational Fluid Dynamics and High-Performance Computing
Start Date
The start date is flexible around January/February 2017 or August/September 2017
Job Requirements and Description:
We are inviting applications for a Ph.D. position that is open in the “Computational aero and gas dynamics” research group at the King Abdullah University of Science and Technology, Extreme Computing Research Center. The project will involve developing and using robust massively parallel high-fidelity and high accuracy simulation capabilities to uncover complex flow patterns into the structure of dense gas flows for studying real gas effects and nonclassical gas dynamics phenomena in complex flows. The student will work on novel implementation strategies for targeting the emerging heterogeneous computing hardware using a large supercomputer and computing clusters equipped with CPUs and GPUs (multicore hardware).
The successful candidate will be involved in the publication of journal articles and conference presentations of the research results obtained in this projects. The research will involve collaborations with the research group “Laboratory of Compressible-fluid dynamics for Renewable Energy Applications at Politecnico di Milano”, and other top-tier institutions in the USA.
The student will learn about cutting-edge high-order/variable-order accurate CFD algorithms for unstructured grids, currently under development at the King Abdullah University of Science and Technology, NASA Langley, Sandia National Lab, and the University of Bergen.
REQUIREMENTS
The qualified candidate must have:
1) an MS/MSc in Aerospace or Mechanical Engineering or Physics with a strong background in computer and computational sciences (knowledge of c, or c++, and/or Fortran).
2) a good command of English and technical writing skills.
Candidates with background in Applied Mathematics, Computer Science, and High Performance Computing are encouraged to apply. Hands-on experience in code development and CUDA knowledge is welcome.