Research Engineer, SCIS

22 Jun 2021
End of advertisement period
21 Jul 2021
Contract Type
Fixed Term
Full Time
  • Contract
  • Manager
  • Bachelor Degree
  • Singapore | Closing On 21 Jul 2021

18-month contract

About Us

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together – building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities – all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

Job Description

  • Research on tackling the research problems of FANNs and for integrating three FANNs modules
  • Develop the state-of-the-art algorithms of FANNs and publish papers
  • Implement the systematical toolbox of FANNs
  • Participate the challenges on fast adaptation visual tasks
  • Demonstrate and visualize the research results


  • Minimum Bachelor in Computer Science (main), Automation, or closely related disciplines
  • Minimum 3 years of relevant research experience in computer vision tasks and deep learning based machine learning algorithms
  • Proficiency in programming languages such as Python, Matlab, C and C++ is required
  • Demonstrated experience and know-how on deep neural networks for computer vision tasks
  • Proficiency in at least one programming platform, such as Tensorflow or Pytorch, is required
  • Excellent working knowledge of advanced manufacturing and engineering
  • Good analytical, technical and problem solving skills
  • Applicants with research publications in computer vision and machine learning areas will be greatly advantageous
  • Self-motivated individual who can work independently and also collaboratively with team members

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