Research Fellow (AI for flow, transport and weather: 749062

Q: What qualifications are required for this Research Fellow role?

A Ph.D. in Aerospace Engineering, Fluid Mechanics, Applied Mathematics or a related discipline is essential. Candidates must demonstrate expertise in turbulence modelling and compressible turbulent flow simulations, plus strong skills in numerical methods, scientific computing, Python, GPU-based HPC, and scientific machine learning. See our academic CV guide for application tips.

Q: What research will the Research Fellow conduct?

The role focuses on developing auto-differentiable solvers and deep-learning frameworks for physical processes, transport phenomena, flow, and weather modelling. This aligns with NUS strengths in engineering and AI. Explore related opportunities on our research jobs page .

Q: How do I apply for this NUS Research Fellow position?

Submit your application before the 2026-09-26 deadline via the university portal. Highlight your Ph.D., turbulence expertise, Python/HPC skills, and machine learning experience. Prepare a strong CV and cover letter using our winning CV guide .

Q: What career benefits come with this Research Fellow position at NUS?

This role offers hands-on experience in AI-driven scientific computing at a top global university, boosting your profile for future faculty or industry roles. Access NUS resources and networks. Review our postdoc success guide for long-term planning.

A Ph.D. in Aerospace Engineering, Fluid Mechanics, Applied Mathematics or a related discipline is essential. Candidates must demonstrate expertise in turbulence modelling and compressible turbulent flow simulations, plus strong skills in numerical methods, scientific computing, Python, GPU-based HPC, and scientific machine learning. See our academic CV guide for application tips.

The role focuses on developing auto-differentiable solvers and deep-learning frameworks for physical processes, transport phenomena, flow, and weather modelling. This aligns with NUS strengths in engineering and AI. Explore related opportunities on our research jobs page.

Submit your application before the 2026-09-26 deadline via the university portal. Highlight your Ph.D., turbulence expertise, Python/HPC skills, and machine learning experience. Prepare a strong CV and cover letter using our winning CV guide.

Visa sponsorship details are not specified. International candidates should check NUS international hiring policies or contact HR. Our lecturer career guide covers relocation support.

This role offers hands-on experience in AI-driven scientific computing at a top global university, boosting your profile for future faculty or industry roles. Access NUS resources and networks. Review our postdoc success guide for long-term planning.

Visa sponsorship details are not specified. International candidates should check NUS international hiring policies or contact HR. Our lecturer career guide covers relocation support.

Research Fellow (AI for flow, transport and weather)

National University of Singapore (NUS)

Kent Ridge Campus