Research Fellow in 3D Scanning of Railways

University of Leeds

Leeds, United Kingdom

ID: 7254283 (Ref.No. EPSCV1138)
Posted: June 12, 2024

Job Description

Are you an ambitious researcher looking for your next challenge? Do you have experience related to 3D scanning, 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 develop novel 3D scanning technologies for railway track Switches and Crossings. You will be working on the XCROSS project which aims to make a step-change in railway 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 include the identification of hardware and software requirements for the in-situ 3D scanning of crossings, and also performing laser scans at several railway sites in Europe. Using scan data, you will develop 3D point cloud manipulation, artificial intelligence, and computer vision algorithms to process 3D scanned crossing datasets. 

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 3D scanning or 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.


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

Professor David Connolly

Email: [email protected]

Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Engineering & Physical Sciences
School/Institute:  School of Civil Engineering
Category:  Research
Grade:  Grade 7
Salary:  £37,099 to £44,263 p.a.
Due to funding restrictions, an appointment will not be made higher than £39,347 p.a.
Working Time:  37.5 hours per week
Post Type:  Full Time
Contract Type:  Fixed Term (24 months, to end by 30 April 2027 - To complete specific time limited work.)
Release Date:  Tuesday 11 June 2024
Closing Date:  Tuesday 09 July 2024
Reference:  EPSCV1138


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