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NTU's School of Electrical and Electronic Engineering invites a Research Fellow to advance perception and embodied intelligence. You will tackle learning from human demonstrations for robot manipulation in household and industrial settings, building foundation models and LfD frameworks.
Applicants should hold a PhD and have strong publication records, expertise in robotic manipulation, and proficiency in ROS and Python, with excellent communication and collaboration skills.
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:
Develop robotic foundation models for general manipulation based on vision-language-action models
Develop learning from human demonstration (LfD) framework for vision-language-action models
Develop multi-embodiment retargeting framework with safety constraints
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
We regret to inform you that only shortlisted candidates will be informed.