The School of Computing’s Artificial Intelligence Research Theme are looking for an outstanding individual, who will join us in leading the School and enhancing our reputation as a world-leading centre for research and education. 

The recruitment of this Chair forms part of an ongoing process of investment which has generated continued growth in the numbers of staff and students across the School, in the breadth and reach of our research, and in our reputation, both nationally and internationally. As part of this strategy, we are investing in our core strengths as well as in new areas that form part of our vision for the future of computer science. In 2021, we will be moving to a new £96m complex in the heart of Science and Engineering. As a major research-intensive University, we provide a superb environment for the day to day work and progression of our faculty.

The Chair in Artificial Intelligence will join the University’s extensive interdisciplinary artificial intelligence and robotics research network, which spans all eight faculties, with particular strengths in data analytics, computational medicine and infrastructure and surgical robotics. We are also home to the EPSRC National Facility for Innovative Robotic Systems, providing access to manufacturing expertise and outstanding facilities that are among the most advanced in the world. The School has a vibrant research activity covering several areas of AI and robotics, including knowledge representation and reasoning, computer vision, augmenting human intelligence and robot manipulation.

We are one of only a few Schools of Computing or Computer Science in England with a Silver Athena Swan award, evidence for our commitment and achievements in advancing the careers of women. In addition, our Faculty, and the University in general, are deeply committed to advancing equality and inclusion more broadly.

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

Professor David Hogg or Professor Tony Cohn
Tel: +44 (0) 113 343 5765 / 5482
Email: d.c.hogg@leeds.ac.uk , a.g.cohn@leeds.ac.uk

Location:      Leeds - Main Campus
Faculty/Service:      Faculty of Engineering
School/Institute:      School of Computing
Section:      Institute for Artificial Intelligence and Biological Systems
Category:      Academic
Grade:      Grade 10
Negotiable, dependent on experience.
Working Time:      37.5
Post Type:      Full Time
Contract Type:      Ongoing
Closing Date:      Friday 28 June 2019
Interview Date:      To be confirmed
Downloads: Candidate Brief