Postdoc: Dexterous Robot Learning & Foundation Models

Imperial College London; Greater London; On-site; GBP 45,000 - 49,000; Full time

Benefits offered by this job

43 days off a year

State-of-the-art hardware

Travel & dissemination support

Job summary

Imperial College London is seeking a Postdoctoral Research Associate to advance dexterous manipulation and robot foundation models. You will work on high-DoF hands and real robots, collaborating with robotics, CV, and ML experts to push the boundaries of robot learning.

You will develop probabilistic programming-based research and explore large-scale human demonstration data to create capable, general-purpose robot behavior, with publication goals in premier venues.

Qualifications

• PhD in computer science, robotics, engineering, or equivalent.
• Strong track record in top conferences/journals in robot learning, ML, or CV.
• Experience deploying learned policies on real robots (dexterous hands, teleoperation, or motion capture).

Responsibilities

• Conduct original research at the intersection of dexterous manipulation, robot learning and foundation models.
• Develop novel algorithms and policies for high-DoF hands and validate on real hardware.
• Publish in top conferences such as CVPR, NeurIPS, ICLR, ECCV, ICCV, ICRA and RSS.

Skills

Robot learning

Machine learning

Computer vision

Imitation learning

Education

PhD in CS/Robotics/Engineering

Tools

PyTorch

ROS

Job description

Imperial College London is seeking a Postdoctoral Research Associate to advance dexterous manipulation and robot foundation models. You will work on high-DoF hands and real robots, collaborating with robotics, CV, and ML experts to push the boundaries of robot learning.

You will develop probabilistic programming-based research and explore large-scale human demonstration data to create capable, general-purpose robot behavior, with publication goals in premier venues.