The School of Computing has a growing portfolio of research and teaching in the areas of embedded systems and robotics. Our research activity includes membership of the Engineering and Physical Sciences Research Council (EPSRC) National Facility for Innovative Robotic Systems at Leeds, and major awards such as the EU RACE project (artificial intelligence /robotics), and from EPSRC the “Analysis of the Vehicle as a Complex System” project in collaboration with Jaguar-LandRover (embedded control). In teaching, the growing demand for students with expertise in embedded systems for high-value industrial products or consumer electronics has led to a new joint undergraduate programme spanning the Schools of Computing and Electronic & Electrical Engineering.
As part of our strategic expansion in this area, the School of Computing is seeking to appoint a University Academic Fellow to carry out research in any one of the following areas:
• Low-level systems software and the software/hardware interface (control systems).
• Artificial intelligence and robotics, including bio-inspired computing.
• Operating systems for embedded devices.
• Languages and run-time systems for parallel programming.
• Real-time systems and control.
You will build on the School’s recent success and strategic vision by:
• Strengthening the School’s links to salient work in other Schools of the Faculty, for example Mechanical Engineering (robotics & mechatronics), Electronic and Electrical Engineering (embedded & mobile systems).
• Contributing to the School’s involvement in major initiatives such as the National Robotics Facility.
• Enhancing the School’s ability to deliver outstanding taught programmes in this area.
You will be expected to:
• Conduct and publish high-quality research in your field, delivering outputs that make the UAF returnable in the next REF.
• Establish and maintain technology platforms that facilitate knowledge transfer and innovation.
• Submit high-quality funding proposals to deliver a portfolio of fundamental and applied research projects, where appropriate with external collaborators, to achieve the School income norm by the end of the third year, and to exceed it by the end of the fifth.
• Contribute to the School’s taught programmes, including teaching on specialist topics aligned with robotics/embedded systems.
University Grade 8 (£38,511 to £45,954)
For informal enquiries about the role please contact Dr David Duke, Head of School of Computing, tel: +44 (0)113 3436800, email: D.J.Duke@leeds.ac.uk.