Trainee, Project Officer, Supply Chain Analytics and Optimization

24 Aug 2020
End of advertisement period
22 Nov 2020
Contract Type
Full Time

Programme Summary

In conjunction with Workforce Singapore, NTU offer traineeships to support the SGUnited Traineeships Programme.  The Traineeships are part of NTU's efforts to create relevant and meaningful traineeship opportunities for our nation’s new graduates entering the workforce during this difficult time.

About the HP-NTU Digital Manufacturing Corporate Lab

The HP-NTU Digital Manufacturing Corporate Lab, which has commenced on 1 November 2018, is a collaboration between NRF, HP Inc. and NTU. It is the 13th corporate lab supported by NRF and HP’s largest university research collaboration worldwide. The $84 million lab supports Singapore’s push toward industry transformation – in the areas of digital manufacturing and 3D printing technologies. Advanced Manufacturing and Engineering is one of four technology domains under the Research, Innovation and Enterprise (RIE) 2020 Plan, which is Singapore’s national strategy to develop a knowledge-based innovation-driven economy and society. The Corporate Lab’s main research themes focuses on advancing 3D Printing, specifically around artificial intelligence, machine learning, new materials and applications, cybersecurity and customisation. The lab has 3 major programmes: - 3D Printing - Artificial Intelligence / Machine Learning - Cybersecurity

Job Descriptions

  • Participate in data collection and preparation, and support data analysis
  • Prepare reports and documentations for the Corporate Lab / research program
  • Contribute to research publications, presentations
  • Assist in duties related to project management, documentation, tracking of deliverables and asset records etc
  • Assist in purchasing of equipment and consumables, and tracking of research budget etc
  • Program simulation models and optimization algorithms developed by the research team for analyzing supply chains using either C or Python


  • Bachelor degree in Industrial Engineering, Computer Science or Mechanical Engineering with strong analytics modelling and computer programming skills
  • Preferably should have taken some courses in Operations Research, Optimization, Analytics, logistics and/or supply chain management
  • Good to strong skills in C and/or Python programming
  • Basic understanding of research and analytical skills
  • Attention to details and procedures
  • Effective communication and report writing skills
  • Ability to multi-task and work independently, as well as work well in a team
  • Good spoken and written English

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