Research Fellow (Electronic Engineering/ Computer Science/ Mechanical Engineering )

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 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 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 talented and responsible researcher to support the scientific research and the engineering practice in perception and embodied intelligence.

The Research Fellow will work on a project to conduct research on learning from human demonstrations for robot manipulation used in household service and manufacturing. The roles of this position include:

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  Develop robotic foundation models for general manipulation based on vision-language-action models

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  Develop learning from human demonstration (LfD) framework for vision-language-action models

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  Develop multi-embodiment retargeting framework with safety constraints

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  Develop a mobile bimanual manipulation system to complete diverse tasks in household environment and in manufacturing deployment scenarios

• PhD in Electronic Engineering, Computer Science, Mechanical Engineering or related field

• 3-year research experience in related area

• Expertise in robotic manipulation systems

• Knowledge in robotic foundation models 

• Publication track record is an advantage

• Proficiency in basics of programming languages such as ROS and Python

• Excellent communication skills, written and verbal – able to communicate complex concepts clearly and accurately

We regret to inform you that only shortlisted candidates will be informed.