Postdoctoral Scholar in the Department of Mechanical Engineering
Core
Conduct research on turbulence modeling for compressible and high-speed flows using machine learning and CFD simulations.
Role type
Postdoctoral Scholar (Research Scientist)
Builds
Research outputs (reports, publications, software models)
Domain
Mechanical/Aerospace Engineering, Computational Fluid Dynamics
Deliverable
research
Required skills
turbulence modeling, compressible flow physics, CFD simulations, machine learning methods, scientific programming, high-performance computing
Responsibilities
Develop progressive flow-physics-learning and machine-learning methods; Perform CFD simulations, model calibration, and model-form error analysis; Benchmark turbulence models and existing compressibility corrections; Verify and validate models using canonical and application-relevant flows; Document results in reports, presentations, software, and publications
