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Job Description
The candidate will study, via computational modeling and analytical techniques (reduced-order models) where appropriate, the flow of complex fluids through complex domains, subject to non-linear conditions such as, phase change, and temperature and pressure dependence of the fluid properties.
Qualifications
- Substantial experience in computational techniques, molecular dynamics, complex flow simulations, advanced numerical methods and large-scale problems.
- Strong programming and analytical skills are required. Experience in python, Fortran, C++ and parallel computing are a plus.
- Good publication record in peer-reviewed journals for fluid mechanics.
- A Ph.D. degree in relevant fields related to Mechanics, Applied Mathematics, Computer Science, and Mechanical Engineering.
