Department of Computer Science and Technology

Fixed-term: The funds for this post are available for 8 months.

We are looking for a talented roboticist to join our team and take part in an exciting project on co-design of robot hardware and control, with a focus on dexterous mobile manipulation.

We are creating a global optimization framework for the co-evolution of hardware (sensors, morphology, actuation, and materials) alongside machine learning methods that autonomously master contact-rich manipulation tasks. By integrating scalable adaptive simulation with active learning, the project aims to enable efficient hardware-in-the-loop optimization. The ultimate goal is to substantially reduce the cost and time for customizing robots by evolving beyond the limitations of purely anthropomorphic designs.

This opportunity is for a research assistant with practical 'full-stack' robotics experience from industry or long-term involvement in academic research. We have experts in optimization, reinforcement learning, and soft robotics working with our team. We would like to bring onboard a researcher whose strengths are in robot control or mechanical engineering, who is enthusiastic about teamwork to unify individual research efforts into a strong well-performing framework.

https://www.cam.ac.uk/jobs/research-assistant-fixed-term-nr48668