Research Fellow (AI for flow, transport and weather)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link https://careers.nus.edu.sg/job/Research-Fellow-%28AI-for-flow%2C-transport-and-weather%29/33831-en_GB/

We regret that only shortlisted candidates will be notified.

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.