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 research assistant to support the research for the project titled: Vision based Robotic Manipulation of Soft Objects based on Convolutional Neural Networks (CNN). The role will focus on the development of vision based robotic manipulation techniques for soft objects based on CNNs.

Key Responsibilities:

• Modelling of soft objects.
• Development of robot vision system for detection and localization of soft objects using machine learning.
• Development of control methods for manipulation of soft objects.

Job Requirements:

• Bachelor’s degree in Engineering
• Expertise in machine learning and robotics
• Experiences in robotics and machine learning related projects
• Good Publication track record
• Proficiency in basics of programming languages such as C, C++ and Python
• Excellent verbal and written communication skills

We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU

• Modelling of soft objects.
• Development of robot vision system for detection and localization of soft objects using machine learning.
• Development of control methods for manipulation of soft objects