Research Associate (Computer Vision and Artificial Intelligence) - Bukit Batok

apartmentNANYANG TECHNOLOGICAL UNIVERSITY placeBukit Batok calendar_month10/7/25

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a responsible Research Associate to conduct the research for the project entitled “Multimodal Human-robot Interaction and Analytics in Robotics Artificial Intelligence”. The role will focus on research and development of human-robot interaction and analytics using AI.

Key Responsibilities:

Development of artificial intelligence (AI) technologies to perform human-robot interaction and analytics
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.
At least 1 year 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 device and equipment
Good written and oral communication skills
Ability to work independently and as a team.
Excellent organizational / time management skills
Prior publication experience is preferred

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

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