Research Scientist in Neuro-Symbolic AI and Computer Vision (CFAR), IHPC

A*STAR RESEARCH ENTITIES

Singapore
Not specified
Phd in computer science or related field
Strong python and pytorch programming skills
Experience with vision-language models and llms
A*STAR Research Entities is seeking a Research Scientist in Neuro-Symbolic AI and Computer Vision to develop innovative algorithms using advanced machine learning technologies. The ideal candidate should have a PhD in a relevant field and strong programming skills, particularly in Python and PyTorch, along with a solid research background

Job Summary

  • The successful candidate will be responsible for conducting research and development of innovative algorithms in Neuro-Symbolic AI and Computer Vision.
  • Candidates must demonstrate a strong research track record with publications in leading conferences such as ICCV, CVPR, ECCV, WACV, NeurIPS, ICML, and ICLR.
  • A strong background in Situation Recognition, Visual Reasoning, and Neuro-Symbolic AI is required alongside proficiency in state-of-the-art machine learning technologies.

Matching Summary

Match Score: 85

A*STAR Research Entities is seeking a Research Scientist in Neuro-Symbolic AI and Computer Vision to develop innovative algorithms using advanced machine learning technologies. The ideal candidate should have a PhD in a relevant field and strong programming skills, particularly in Python and PyTorch, along with a solid research background.

Skills & Requirements

Must-have

  • PhD in Computer Science or related field
  • Strong Python and PyTorch programming skills
  • Experience with Vision-Language Models and LLMs
  • Track record of publications in top AI conferences

Nice-to-have

  • Background in Situation Recognition and Visual Reasoning
  • Excellent interpersonal and presentation skills
  • Ability to start immediately

Key Requirements

  • PhD in Computer Science, Engineering, or closely related field
  • Publications in leading conferences (ICCV, CVPR, etc.)

Work Rights

Not specified

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