Research Fellow (Computer Science/ Mechanical/ Electrical/ Aerospace Engineering/Physics)

ntu; Singapore; On-site; SGD 60,000 - 90,000; Full time

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.

Skills

AI/ML in Eng

Theoretical skills

Numerical simulations

Publishing track record

Education

PhD required

Tools

Python

Matlab

Machine learning tools

Job description

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation's long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research .

Key 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
• Provide regular updates and reports

Job Requirements:

• Possess a recognized PhD degree in Computer Science / Mechanical / Electrical / Aerospace engineering or Physics or related disciplines.
• Good theoretical and numerical skillsets
• Experience in AI and ML in Engineering applications
• Good track record in scientific publication
• Good interpersonal skills. Excellent teamwork awareness
• Strong responsibility for research / work

Hiring Institution: NTU