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- Develop graph-based reasoning networks for facial landmark detection
- Create spatial temporal graph-based reasoning networks for improved video facial landmark detection
- Implement stabilization methods for video facial landmark detection
- Research graph neural network theory
- Study sequence modeling theory
- Explore deep learning methods and theory
- Develop computer vision techniques
- Bachelor's degree in Computer Science/Engineering or Electrical/Electronic Engineering
- Strong mathematical foundation
- Publication in top-tier AI venues preferred
- Minimum 2 years of related work experience
- Thorough knowledge of Machine Learning, Deep Learning, and Computer Vision theories
- Experience with Deep Learning frameworks and Programming Languages
- Demonstrated project experience in graph-based reasoning and facial landmark detection is advantageous
- Effective written and verbal communication skills
Research Engineer I - Singapur, Singapore - Nanyang Technological University
Description
NTU Corp Lab is currently looking to hire a Research Engineer I to aid in the development of graph-based reasoning networks for accurate facial landmark detection models. The ideal candidate should be able to apply recent advancements in graph reasoning networks to face alignment tasks.
Responsibilities:
Requirements:
Only shortlisted candidates will be contacted.
Hiring Institution: NTU