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.
- Substantial experience in computational techniques, molecular dynamics, compressible flow simulations, advanced numerical methods and large-scale problems.
- Strong programming and analytical skills are required. Experience in python, 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.
Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Mechanical Engineering
Employee Referral Eligible: No
Job requisition ID : 22916