RIE Trainee, Project Officer, Voxel-based Design and Modelling for 3D Printing

Jul 10, 2020
End of advertisement period
Aug 09, 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:

  • Prepare literature review and searches to outline research in the field
  • Participate in research conceptualization and design
  • Participate in data collection and preparation, and support data analysis
  • Prepare reports and documentations for the research program
  • Identify state of the art and support gap analysis, opportunities for high impact research / development outcomes
  • Contribute to the possibility of developing advanced know-how in research, product development, or industrialisation
  • Actively support development of new scalable processes or products and their life cycle assessments
  • Contribute to research publications and 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

Specific Project

  • Investigate the state-of-the-art deep learning models; Evaluate deep learning models on edge accelerators; Contribute to our open-source tool development  


  • Bachelor degree in Computer Science or Electrical Engineering
  • Basic understanding of deep learning techniques and computer hardwares;
  • Knowledge about deep learning frameworks like Tensorflow, Pytorch, etc.
  • 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
  • Relevant internship, FYP and related research work experience
  • Good spoken and written English

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