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

Nanyang Technological University Singapore

Singapore

On-site

SGD 50,000 - 80,000

Full time

14 days+
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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

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 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.

Hiring Institution: NTU

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