Research Associate in Mechanical and Aerospace Engineering

University of VirginiaCharlottesville, VA
Onsite

About The Position

The Computational Fluid Dynamics (CFD) and Propulsion Laboratory in the Department of Mechanical and Aerospace Engineering at University of Virginia is seeking a qualified candidate for a Postdoctoral Research Associate position. Research in the laboratory focuses on high-performance computing (HPC) methods in CFD, advanced algorithm development, data assimilation and scientific machine learning. The successful candidate will contribute to the development of advanced numerical algorithms for large-scale CFD modeling and simulations, including scalable solvers, domain decomposition methods, and data-driven and physics-driven learning techniques. The Postdoctoral Research Associate will work as an algorithm developer within the CFD and Propulsion Laboratory and will be responsible for the development, implementation, and analysis of efficient numerical methods for next-generation CFD applications on HPC platforms.

Requirements

  • PhD in Mathematics or Statistics or other related field by the start date.
  • Within 5 years post-PhD.
  • Research experience in CFD methods, numerical methods and analysis, stability analysis.
  • Research experience in scalable solvers, and domain decomposition methods.
  • Research experience in C++ programming, parallel programming.
  • Research experience in stochastic partial differential equations (PDEs), stochastic processes and analysis.
  • Research experience in model reduction, surrogate model development.
  • Research experience in uncertainty quantification.

Nice To Haves

  • Additional expertise in AI/ML.
  • Additional expertise in Supercomputing.
  • Peer-reviewed publications in computational mathematics and/or computational/numerical methods.

Responsibilities

  • Contribute to the development of advanced numerical algorithms for large-scale CFD modeling and simulations, including scalable solvers, domain decomposition methods, and data-driven and physics-driven learning techniques.
  • Work as an algorithm developer within the CFD and Propulsion Laboratory.
  • Responsible for the development, implementation, and analysis of efficient numerical methods for next-generation CFD applications on HPC platforms.

Benefits

  • Benefits available to Research Associate at UVA
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