Research Associate (Computer Vision and Artificial Intelligence)

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

NTU Singapore invites applications for a Research Associate to advance the project “Manual Assembly Job Quality Inspection.” The role emphasizes research and development of AI algorithms for object and defect detection, with emphasis on computer vision and deep learning.

You will work on system integration, oversee equipment procurement, mentor students, and prepare project reports, collaborating with a multidisciplinary team in a research-intensive environment.

Qualifications

• Master's degree in CS/EEE or related field.
• Minimum 1 year of relevant experience in computer vision and AI.
• Proficiency in Python and C; experience with PyTorch and TensorFlow.
• Knowledge of imaging devices and related equipment.
• Strong communication, organizational, and time management skills; ability to work independently and in a team.
• Prior publication experience is preferred.

Responsibilities

• Develop AI technologies for object and defect detection.
• System integration of the developed algorithms.
• Oversee project budget and coordinate procurement and maintenance of equipment.
• Provide mentorship and academic guidance to students.
• Prepare and compile reports pertaining to the project.

Skills

Python

C

Computer vision

Deep learning

Education

Master's degree in Computer Science, Electrical and Electronic Engineering, or related field

Tools

PyTorch

TensorFlow

Job description

We are looking for a Research Associate 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 object and defect detection.

Key Responsibilities

• Development of artificial intelligence (AI) technologies to perform object and defect detection.
• System integration of the developed algorithms.
• Overseeing project budget and coordinating the procurement and maintenance of equipment.
• Providing mentorship and academic guidance to students.
• Preparing and compiling reports pertaining to the project.

Job Requirements

• Master's degree in Computer Science, Electrical and Electronic Engineering, or related field.
• Min 1 year of relevant experience in computer vision, artificial intelligence, etc.
• Proficiency in programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow.
• Knowledge in imaging and computing device and equipment.
• Strong communication, organizational, and time management skills, with the ability to work independently and in a team.
• Prior publication experience is preferred.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution

NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes - the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering - and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources. For more information, visit www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive