Job Description

The candidate will study, via computational modeling and analytical techniques 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. An undergraduate degree in mechanical engineering, aerospace engineering or other related fields.
2. Substantial experience in Bayesian filtering and smoothing along with their application in thermal-fluid systems.
3. Experience in physical field reconstruction algorithms via reduced order modelling and compress sensing theory is preferred.
4. Good knowledge in computational fluid dynamics, and coding skills in MATLAB, C++, or Python.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Mechanical Engineering
Employee Referral Eligible: No
Job requisition ID : 22530