Research Fellow (Computer Vision and Artificial Intelligence)
Quick Summary
Develop artificial intelligence (AI) technologies for defect detection, image/video analysis and understanding.
PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc.
Hyundai-NTU-A*STAR Corporate Lab offers an excellent R&D environment to create novel technologies with the world leading automotive company, Hyundai by translating the research into the dark factory directly with implementing and validating the research using AI, Robotics, 3D Printing and Digital Twins.
We are looking for a Research Fellow to conduct the research for the project entitled “Manual Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms for defect detection, image/video analysis and understanding
Key Responsibilities:
Develop artificial intelligence (AI) technologies for defect detection, image/video analysis and understanding.
Perform system integration of the developed algorithms
Oversee project budget and coordinate the procurement and maintenance of equipment
Provide mentorship and academic guidance to students
Prepare and compile reports pertaining to the project.
Job Requirements:
PhD degree in Computer Science, Electrical and Electronic Engineering, or related field.
At least 3 years of relevant experience in computer vision, artificial intelligence, etc.
Proficiency in programming languages such as C and Python
Proficiency in deep learning frameworks such as Pytorch and Tensorflow
Knowledge in imaging and computing devices and equipment
Good written and oral communication skills
Ability to work independently and as a team
Excellent organizational / time management skills
Good publication records
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTULocation & Eligibility
About this job
- Who can apply
- Singapore
- Posted
- Today
Listing Details
- First seen
- October 18, 2026
- Last seen
- October 18, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- October 18, 2026
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