Research Fellow (Computer Vision and Artificial Intelligence)
At a glance
Mid-level AI Research role at Ntu. NTU Main Campus · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop AI methods to detect defects and analyze and interpret images and video for manual assembly quality checks
- Integrate the algorithms you build into a working system
- Track the project budget and arrange equipment purchases and upkeep
- Guide students academically, and prepare project reports
- Conduct research and development for the manual assembly inspection project
What you bring
- A PhD in computer science, electrical and electronic engineering, or a related discipline
- At least three years of relevant work in computer vision, AI, or another related area
- You can program in C and Python and use deep learning frameworks such as PyTorch or TensorFlow
- You bring imaging-device knowledge, strong communication and organization, and a record of publications
Who this fits
This mid-level research role suits someone who can work independently and alongside a team, while providing academic guidance to students. It is based at NTU Main Campus in Singapore.
From the employer
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: NTU