Research Engineer II
7 months ago
Key Responsibilities:
- Develop graph-based reasoning networks for facial landmark detection.
- Develop spatial temporal graph-based reasoning network to improve the accuracy of video facial landmark detection.
- Develop stabilization methods for video facial landmark detection.
- Develop graph neural network theory.
- Develop sequence modeling theory.
- Develop deep learning methods and theory.
- Develop computer vision methods.
Job Requirements:
- Master's degree or higher in Computer Science/Engineering, or Electrical/Electronic Engineering.
- Strong mathematical background
- Top-tier AI venue publications are very much preferred
- Minimum of 2 years of work experience in a related field.
- 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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