Research Fellow in Bioinformed Design and Control of Autonomous inspection robots
Are you an enthusiastic and experienced researcher in bioinspired algorithms, computational neuroscience or biorobotic control? Are you looking for a new and exciting challenge as part of a world class biorobotics team? Do you want to design and create robotic systems that will change our lives?
As part of a £7.2M project to build swarms of small inspection robots to live within our city’s pipes, you will design, analyse, implement and test control algorithms for small fully autonomous robots for locomotion, navigation and inspection tasks inside active pipes.
You will join a world class team at the University of Leeds with cutting edge expertise across mathematical and simulation models of biological control in animals on the one hand and robotics on the other: developing a broad range of inspection robots including drones and some of the most advanced legged and crawling robots in the world.The Leeds team is responsible for many innovations including biorobotic control algorithms for locomotion in 2013 and navigation algorithms for pothole detection on roads in 2017.
Our research is supported by the EPSRC National Facility of Innovative Robotic Systems, which contains some of the most advanced manufacturing machines in the world.You will join buoyant active research environment alongside six researchers and technicians dedicated to this project alone.Across the broader domain of infrastructure inspection, the University of Leeds leads the EPSRC Grand Challenge in robotic infrastructure inspection and repair – with another 6 academic researchers.
Robotics at Leeds has over 100 active members with research in the areas of Field Robotics, Medical Robotics, AI for Robotics and Underpinning Science and Technology.
You will be based in the School of Computing, which is home to a vibrant, multi-disciplinary group with expertise across Applied Computing for Biology (including biological computation and soft-body biomechanics) and AI and Robotics (including robotic planning, manipulation and control). Other research in AI is broadly based, combining machine learning with computer vision; knowledge representation and reasoning; natural language processing; and robotics.
To explore the post further or for any queries you may have, please contact:
Professor Netta Cohen, School of Computing
Tel: +44 (0)113 343 2156 or email: email@example.com
The Faculty of Engineering is proud to have been awarded the Athena Swan Silver Award from the Equality Challenge Unit, the national body that promotes equality in the higher education sector. Our equality and inclusion webpage provides more information.
|Location:||Leeds – Main Campus|
|Faculty/Service:||Faculty of Engineering|
|School/Institute:||School of Computing|
|Salary:||£33,199 to £39,609 p.a.|
|Post Type:||Full Time|
|Contract Type:||Fixed Term (30 months due to grant funding)|
|Release Date:||Tuesday 30 April 2019|
|Closing Date:||Sunday 26 May 2019|
|Interview Date:||To be confirmed|