Job Description

The candidate will study, via computational modeling and machine learning the flow of complex fluids through complex domains, which might also involve freely-moving and deforming structures, and physico-chemical hydrodynamics.

Qualifications

•             An undergraduate or master degree in mechanical engineering, applied mathematics, aerospace engineering or other related fields.

•             Substantial experience in numerical simulations based on Lattice Boltzmann method and immersed boundary method.

•             Familiar with C and MPI.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Mechanical Engineering

Employee Referral Eligible: No

Job requisition ID : 28836