Job Description
Job Title:
Research Fellow (AI for flow, transport and weather)
University-Level Unit:
College of Design and Engineering
Faculty/Department-Level Unit:
Mechanical Engineering
Employee Category:
Research Staff
Location_ONB:
Kent Ridge Campus
Posting Start Date:
23/07/2026
Job Description
The candidate will develop auto-differentiable solvers and deep-learning frameworks for diverse physical processes and transport phenomena.
Qualifications
1. A Ph.D. degree in Aerospace Engineering, Fluid Mechanics, Applied Mathematics, or a related discipline.
2. Demonstrated expertise in turbulence modelling and compressible turbulent flow simulations.
3. Background in numerical methods and scientific computing.
4. Proficiency in Python programming and high-performance computing on modern GPU-based platforms.
5. Familiarity with scientific machine learning and data-driven modelling.
Req ID:
33831
