Job Title: Chair in Robotics and Autonomous Systems
Contract Type and Working Pattern: Open Ended and full-time
Centre of Machine Intelligence (CMI), Department of Automatic Control and Systems Engineering, Department of Computer Science,
Salary: Professorial pay scale - £66,857 to £131,771 per annum
Closing date: 9th June 2024
The CMI is a strategic initiative supported by a £3.64m TUoS investment, dedicated to the transformation and acceleration of research, innovation, and teaching on and with AI. We are currently appointing leads for the CMI’s four interdisciplinary themes, including this post. You will work across the CMI and our Sheffield Robotics network, developing a strategic vision that brings together our research on machine intelligence, robotics and autonomous systems.
There are tremendous opportunities for growing our research in robotics and autonomous systems at Sheffield, with potential for significant impact for example via our large-scale translational research centres.
We are particularly keen to appoint a candidate who can contribute to one of the following areas of critical mass and excellence at Sheffield:
- Medical robotics and systems, assistive and rehabilitative robotics
- Intelligent manufacturing and cyberphysical systems
- Field robotics, robot navigation and localisation
- Trustworthy autonomous systems, UAVs and swarm robotics
About the role
You will be a research leader in robotics/autonomous systems with experience of interdisciplinary collaboration. Working closely with other theme leads and the Centre Director, you will strive to position the CMI at the forefront of AI research, innovation, and impact, nationally and internationally. You will develop a strategic vision for robotics and autonomous systems at the University of Sheffield, outlining long-term goals and objectives and collaborate with academic staff, researchers, and students across the University to align research efforts and catalyse research in the theme beyond your own research interests.
You will conduct world-class research in robotics/autonomous systems, advancing knowledge in your area of specialisation as well as publish research findings in top-tier journals and at leading conferences, establishing your reputation as a thought leader in the field. Moreover, you’ll lead and contribute to the development of large interdisciplinary grant applications, securing funding for significant research initiatives.