[robotics-worldwide] [jobs] Research Fellow in Autonomous Systems in City Infrastructure, University of Leeds, UK

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[robotics-worldwide] [jobs] Research Fellow in Autonomous Systems in City Infrastructure, University of Leeds, UK

Anthony Cohn
Research Fellow in Autonomous Systems in City Infrastructure

School of Civil Engineering and School of Computing, Faculty of Engineering

Robotics is changing the way we do everything in all walks of life, and Civil Engineering and City Infrastructure is not different. At Leeds we are leading the way in robotic applications to infrastructure and would like now to recruit someone to continue and expand on this area to improve our position internationally. Are you up for the challenge? Do you want to trail blaze the way into the field?

The University of Leeds was awarded a large EPSRC grant to explore the use of robots and autonomous systems in city infrastructure. This 5-year project commenced in January 2016. The team is formed of a consortium of the Universities of Leeds (lead), Birmingham, UCL and Southampton. You will join this team that is already producing outstanding results - e.g. we have produced the first-ever road pavement 3D printer on-board a UAV or developed a robot that can be remotely powered inside a pipe using microwaves.

You will lead the research in the following three areas:
1. Use Computer Vision techniques to develop image based sensor systems for visual monitoring of infrastructure defects like cracks in pavements;
2. Obtaining 3D reconstruction using techniques such as structure-from-motion (SfM) and/or laser scanning; and
3. Develop techniques to identify objects, parts of objects, semantic scene regions and activities in order to facilitate navigation and task performance by lightweight UAVs; it is expected that this will include the use of qualitative spatio-temporal representations.

Holding a PhD (or close to completion) in Computer Vision or a closely allied discipline, you will have knowledge of machine learning and an enthusiastic, creative approach to research.

How to apply

You can apply for this role online at https://urldefense.proofpoint.com/v2/url?u=https-3A__jobs.leeds.ac.uk_vacancy.aspx-3Fref-3DENGCC1001&d=DwIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=toQNXrqkC-n8oz9ERlsrwUdkxv7QJQgnJDbd8-MfdKg&s=js54bTeds4xk4CYa7VxvmQhPxq7hmVHYIuVLm_6ENj0&e= , where further details of the post may be obtained (follow the link at the end "candidate brief").

Applications should be submitted by 23.59 (UK time) on the advertised closing date.

Contact information

To explore the post further or for any queries you may have, please contact:
Raul Fuentes, Pro-Dean International and Associate Professor of Infrastructure Engineering, School of Civil Engineering
Tel: +44 (0)113 343 2282
Email: [hidden email]<mailto:[hidden email]>

Or

Anthony Cohn, Professor of Automated Reasoning, School of Computing
Tel +44 (0)11334 35482
Email [hidden email]
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