Postdoc Fellow: AI-Driven Fluid-Structure Research

Nanyang Technological University Singapore; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

Nanyang Technological University Singapore is seeking a research fellow (postdoc) to develop efficient AI and Machine Learning techniques for investigating fluid-structure interaction problems. The successful candidate will be responsible for theoretical development, numerical simulations, and publishing quality research articles.

A recognized PhD in Computer Science, Mechanical, Electrical, Aerospace Engineering, or Physics is required, along with good track records in scientific publication and teamwork skills.

Qualifications

• Recognized PhD degree in relevant disciplines.
• Experience with AI and ML in Engineering applications.
• Good track record in scientific publication.

Responsibilities

• Develop AI and physics-enabled methodologies for fluids and structures.
• Conduct simulations and experiments.
• Innovate technologies for practical applications.
• Publish research articles to share findings.
• Manage project administration and communications.
• Provide regular updates and reports.

Skills

Theoretical and numerical skillsets

Experience in AI and ML

Interpersonal skills

Teamwork awareness

Research responsibility

Education

PhD in Computer Science / Mechanical / Electrical / Aerospace Engineering or Physics

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.

We are looking to hire a research fellow (postdoc) to undertake a project to develop efficient AI and Machine Learning techniques for investigation of fluid-structure interaction problems.

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
  
  

We regret to inform that only shortlisted candidates will be notified.


Hiring Institution: NTU