Technician in Computer Vision for Robotics

Are you an enthusiastic expert in applied computer vision for robotic systems?

Are you looking for a new and exciting challenge as part of a world class robotics team?

Do you want to design and create robotic systems that will change our lives?

The University of Leeds has a large portfolio of research in exploration and infrastructure robotics, highlights of which can be seen in the video available at https://youtu.be/vBmfMqTS31U

We are looking for a Technician to make significant contributions to our research activities by helping to develop computer vision systems for use in the control and operation of robotic systems in the air, on the ground and underwater. You will have the opportunity to apply your skills to a wide variety of exciting, cutting-edge robotic research projects including:

A £4.2M project called Balancing the impact of City Infrastructure Engineering on Natural systems using Robots that aims to develop new robot designs and technologies in three areas: " Perch and Repair ", " Perceive and Patch " and " Fire and Forget " using world class robot fabrication facilities .

A £7.2M project that aims to develop swarms of autonomous miniature inspection robots for long-term deployment within live utility pipes.

Developing our entries to the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) , where we aim to compete in all three challenges. Challenge 1 involves a team of UAVs autonomously tracking and interacting with a set of objects (for example intruder UAVs). Challenge 2 involves a team of UAVs and a UGV collaborating to autonomously locate, pick, transport and assemble building blocks to create pre-defined structures in an outdoor environment. Challenge 3 involves a team of robots collaborating to autonomously extinguish a series of simulated fires in an urban high-rise building firefighting scenario.

In this role, you will support the designing and implementing of computer vision systems for practical demonstrators of advanced robotic systems. As well as supporting the wider projects, you will you will conduct advanced work on vision systems for robotics applications, and corresponding autonomous control strategies. You will hold a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Mechatronics and Robotics, or a closely related discipline - or have substantial relevant experience. You will have experience of developing computer vision systems and applying them to physical robotic hardware.

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

Professor Robert Richardson , School of Mechanical Engineering, University of Leeds

Tel: +44 (0)113 343 2156 or email: r.c.richardson@leeds.ac.uk