For Employers
Research Assistant (Computer Science/Engineering/Electrical/Electronic Engineering)
The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Assistant.

Key Responsibilities:
  • Development of graph-based reasoning networks for facial landmark detection
  • Development of spatial temporal graph-based reasoning network to improve the accuracy of video facial landmark detection
  • Development of stabilization methods for video facial landmark detection
  • Development of graph neural network theory
  • Development of sequence modeling theory
  • Development of deep learning methods and theory
  • Development of computer vision methods

Job Requirements:
  • Bachelor degree or above in Computer Science/Engineering, or Electrical/Electronic Engineering
  • Strong mathematical background and related project experience
  • Top-tier AI venue publications are very much preferred
  • Minimum 2 years of related work experience
  • Deep understanding of the theory of Machine Learning, Deep Learning, Computer Vision
  • Experience in at least one Deep Learning framework such as Tensorflow, Pytorch and Programming Languages such as Python, Matlab, R and/or C/C++
  • Demonstrated project experience related to graph-based reasoning and facial landmark detection will be an advantage
  • Good written and oral communication skills

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU
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Research Assistant (Computer Science/Engineering/Electrical/Electronic Engineering)
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