Job Description

The candidate will perform data-driven modelling of complex fluid motion, including single and multi-phase flow, Newtonian and non-Newtonian flows, as well as isothermal and non-isothermal flows.

Qualifications

1. Substantial experience in Computational Fluid Dynamics and high-performance computing.

2. Strong programming and analytical skills are required.

3. Capable of developing deep learning techniques to model and control complex fluid flows.

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

5. 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 : 20033