NTU
Education
ResearchFellow(ComputerScience/Mechanical/Electrical/AerospaceEngineering/Physics)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Research Fellow (Computer Science/ Mechanical/ Electrical/ Aerospace Engineering/Physics) at NTU. Skills: AI, Machine Learning, Fluid-structure interaction. Undertake theoretical development of AI and physics-enabled data driven methodologies. Undertake numerical simulations and experiments”
What You'll Achieve.
Publish quality research articles
Industry & Context.
What They're Looking For.
Must Have
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, Responsibility for research / work
What You'll Do.
Undertake theoretical development of AI and physics-enabled data driven methodologies
Undertake numerical simulations and experiments
Innovate and seek technologies for potential applications
Publish quality research articles
Undertake project administrations
Provide regular updates and reports
How You'll Work.
Team & Collaboration
Work with product team
Process & Methodology
Project administrations
Full 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 . 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 teamwor
Applying for this Research Fellow (Computer Science/ Mechanical/ Electrical/ Aerospace Engineering/Physics) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NTU?
Real rants from real employees. Read before you apply.