Job Description

The candidate will study, via computational modeling and machine learning the flow of complex fluids through complex domains, varying from microscopic scales to atmospheric scales.

Qualifications

• An undergraduate or master degree in mechanical engineering, applied mathematics, aerospace engineering or other related fields.
• Substantial experience in numerical simulations.
• Familiar with robotics, reinforcement learning, foundation models, and deep learning.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Mechanical Engineering

Employee Referral Eligible: No

Job requisition ID : 30458