"Research Assistant (transport phenomena and AI)"

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

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