Research Fellow in Computer Vision for Railway Turnouts

Are you an ambitious researcher looking for your next challenge? Do you have experience related to computer vision, point cloud data processing or railways? Do you want to further your career in one of the UK’s leading research-intensive Universities? Do you want to be part of an EU funded international innovation programme with collaboration between partners across Europe?

We seek a motivated and versatile Research Fellow to help with novel computer vision and point cloud analysis of railway track turnouts. You will be working on the XCROSS project which aims to make a step-change in railway turnout maintenance. As part of this, you will work with an international consortium comprising a range of leading Universities, software companies, sensor companies, railway track owners and rail industry bodies. 

Working with Professor David Connolly, you will conduct novel research and international impact activities. This will involve developing computer vision analysis algorithms to study changes in images and 3D point clouds of turnouts. It will also involve working with and supporting the other XCROSS work packages led by other project partners. These include the numerical simulation of wheel-rail interaction, sensor development and spatial computing.

You will have a PhD (or submitted your thesis before taking up the role) in a railway engineering related discipline or an area related to computer vision.  

This role will be based at the university of Leeds campus and there is scope for it to be undertaken in a hybrid manner. We are open to discussing flexible working arrangements.

What we offer in return

• 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
• Generous pension scheme plus life assurance– the University contributes 14.5% of salary.
• Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
• Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
• Access to on-site childcare, shopping discounts and travel schemes are also available. And much more! 

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

Professor David Connolly (email: D.Connolly@leeds.ac.uk)

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit: www.gov.uk/skilled-worker-visa.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit: https://www.gov.uk/global-talent.

Downloads

Candidate Brief (PDF)

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