Research Fellow in Robotics and Artificial Intelligence

Are you a researcher interested in developing robots that can reason about the physics of the world i.e. how objects move when a robot interacts with them? Do you have an established background in robotic manipulation? Do you want to gain experience in one of the most important technologies of the future: robotic picking and packing systems in warehouses?

In this EPSRC-funded project, you will develop planning, control, and learning algorithms for robotic manipulators. These algorithms will reason about the physics of mixed multi-object systems (e.g. a mix of items in an online delivery box). You will investigate methods to efficiently predict/simulate/learn the physics of such multi-object systems. You will integrate robotic arms, grippers, suction cups, visual, force, and tactile sensors into a complete system that can use such physics-based predictions to perform real-world picking and packing operations.

You will be a leading researcher in Dr Mehmet Dogar’s group focusing on physics-based robotic manipulation. You will have the opportunity to collaborate with our academic partners (including ETH Zurich, UC Berkeley, TU Hamburg, German Aerospace Agency and Bristol University) to develop the algorithms and systems and, test the developed approaches in real warehouse settings (our industrial partners include Amazon Robotics).

We are open to discussing flexible working arrangements.

To explore the post further or for any queries you may have, please contact:

Dr Mehmet Dogar, Associate Professor

Tel: +44 (0)113 343 5777 or email: M.R.Dogar@leeds.ac.uk)

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit: www.gov.uk/skilled-worker-visa.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit: www.gov.uk/global-talent.

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