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Research Fellow in Robotics and Machine Vision

University of Huddersfield - School of Computing & Engineering

Location: Huddersfield
Salary: £38,560 to £43,374
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 29th November 2023
Closes: 3rd January 2024
Job Ref: R7406

£38,560 - £43,374 per annum 

Huddersfield

Fixed term for 12 months

37 hours per week

Ref: R7406

We have an exciting opportunity for a skilled and motivated Research Fellow in the field of robotics and machine vision for rolling stock maintenance within the School of Computing & Engineering. You will be joining a large, research-intensive School aiming to build upon our success in the Research Excellence Framework (REF2021) by investing in our facilities and staff across a broad range of engineering and computing disciplines.

As part of this, the Institute of Railway Research recently completed a £1.8 million ERDF project, establishing the Smart Rolling Stock Maintenance Research Facility. This initiative, led by Professor Tucker, includes state-of-the-art facilities within the Robotics for Train Maintenance Lab. These developments offer significant opportunities in the field of smart maintenance for rolling stock, making it an exciting time to join our team and contribute to cutting-edge research.

You will focus on Machine Vision for Rolling Stock Inspection and Robotics for Rolling Stock Maintenance, with responsibility for the collection, processing, and enhancement of data, utilising machine vision technology. Experimenting with existing state-of-the-art object detection algorithms, you will explore the development of custom convolutional neural networks, conducting real-time testing on various edge devices and cloud platforms to assess performance. 

You will collaborate with industry partners and our project team to develop realistic use cases for the application of robotics in rolling stock maintenance, and address the technical challenges related to the implementation of robots, taking into account variations in train positioning, component conditions, and fleet types.

Investigating the integration of vision systems, sensors, and AI for enhanced robot control and optimization will be a key aspect of your role. Your work will involve documenting research findings, contributing to research publications, and preparing research funding applications.

With a PhD in Computer/Machine Vision or Robotics and Vision, you will have a proven track record of research outputs in reputable journals. Additionally, experience with sensor integration is highly desirable.

The University is deeply committed to equality and diversity for all its students and staff. We seek to be diverse and inclusive, supporting individuals and groups to fulfil their potential and nurture a sense of belonging. We strive to be an accessible, inclusive employer, removing barriers for all. Find out more about our approach to Equality, Diversity and Inclusion, including our commitments and accreditations as a Disability Confident Employer, Stonewall Top 100 Employer, Athena SWAN Bronze Award holder and our membership of the Race Equality Charter. 

Informal enquiries are welcome and can be directed to Muhammad Hussain via email: M.hussain@hud.ac.uk 

For further details about this post and to make an application, please select the button shown.

Closing date: 03 January 2024

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