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

1.            Substantial experience in computational techniques, molecular dynamics, complex flow simulations, advanced numerical methods and large-scale problems.

2.            Strong programming and analytical skills are required. Experience in python, Fortran, C++ and parallel computing are a plus.

3.            Good publication record in peer-reviewed journals for fluid mechanics.

4.            A Ph.D. degree in relevant fields related to Mechanics, Applied Mathematics, Computer Science, and Mechanical Engineering.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Mechanical Engineering

Employee Referral Eligible: No

Job requisition ID : 27224