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Research Assistant (Metal Additive Manufacturing)

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Job Description - Research Assistant (Metal Additive Manufacturing)

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 for a Research Assistant to conduct research in Metal Additive Manufacturing process qualification and fatigue analysis work. The position is open to candidates with strong research experience or publications.

Key Responsibilities:

  • Metal Additive Manufacturing Design-Built-Test research

  • Fatigue modeling, Analysis, Testing and Machine Learning research

  • Review and Support Research Publications

Job Requirements:

  • The candidate must have research aptitude and skills to conduct research

  • BEng, MSc and PhD students waiting for Oral exams are considered

  • Experience with research publications, review and reporting is an advantage

  • Experience in Metal Additive Manufacturing process is an advantage

  • Fatigue modeling, analysis and testing knowledge will be an advantage.

  • Machine Learning and Data Analytics knowledge will be advantage

  • Excel and Software programming skills will be an advantage

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

Hiring Institution: NTU
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