Research Fellow: AI-Driven Fluids & Structures

ntu

Singapore

On-site

SGD 60,000 - 90,000

Full time

3 days ago

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Job summary

NTU’s School of Mechanical & Aerospace Engineering (MAE) invites applications for a research-focused position. The candidate will develop AI-driven methodologies and conduct simulations and experiments across fluids and structures, contributing to high-impact publications and collaborations.

The role emphasizes theoretical and numerical excellence, strong teamwork, and responsible conduct in research, with the NTU MAE infrastructure supporting advanced manufacturing, aerospace, and robotics

Qualifications

Possess a PhD degree in Computer Science / Mechanical / Electrical / Aerospace engineering or Physics or related disciplines.
Strong theoretical and numerical skillsets are required.
Experience in AI and ML in Engineering applications is essential.
A proven track record of scientific publications is expected.
Excellent interpersonal skills and teamwork are essential.
Strong sense of responsibility for research and work.

Responsibilities

Undertake theoretical development of AI and physics-enabled data driven methodologies for fluids and structure.
Undertake and numerical simulations and experiments.
Innovate and seek technologies for potential applications.
Publish quality research articles to disseminate study findings.
Undertake project administrations and liaison with collaborators.
Provide regular updates and reports on progress.