Computer Vision and Machine Learning Specialist KTP Associate

Loughborough University; Loughborough; On-site; GBP 34,000 - 38,000; Full time

Job summary

Loughborough University seeks a Computer Vision and Machine Learning Specialist (KTP Associate) for a 13.5-month project in partnership with TrainFX. The role involves developing innovative AI solutions for passenger information systems, enhancing service efficiency and user experience. Ideal candidates will have advanced qualifications in Computer Science and relevant technical skills.

Benefits

Real Living Wage Employer

Flexible working arrangements

Training budget up to £4,500

Qualifications

• Hold a PhD (or near completion) or MSc in Computer Science or closely allied disciplines.
• Solid skills in software QA and optimizing I/O performance.

Responsibilities

• Develop computer vision technology for automated passenger counting.
• Integrate real-time passenger loading information into the Smart-PIS.
• Work closely with TrainFX and academic teams.

Skills

Computer Vision

Machine Learning

Software Quality Assurance

I/O Performance Optimization

Education

PhD in Computer Science or MSc in a closely allied discipline

Job description

The University is dedicated to supporting an equitable, diverse, and inclusive environment - to create better futures, together. The diverse backgrounds, characteristics and opinions within our community are our great strength and are key to our pursuit of delivering educational excellence, enterprise, research and professional services. We welcome applications from people from diverse backgrounds and minoritized groups as they are currently under-represented within our community.

We recognise the value of a fulfilling and balanced work and personal life which promotes wellbeing. We seek to support colleagues in achieving this balance and have family-friendly policies, flexible working arrangements and many roles can be suitable for dynamic working arrangement. This includes considering applications to work on a part-time, flexible and job share basis wherever possible.

We are proud to be a Real Living Wage Employer—so much so that we go beyond the standard, providing additional supplementary payments at specific pay points to further support our employees' financial wellbeing. Further information about the Loughborough Real Living Wage Supplement can be found on our HR webpage .

Loughborough University is a UKVI Sponsor. Some individuals may require sponsorship to enable them to apply for a visa to provide them with the right to work in the UK. Please note certain roles are not eligible for sponsorship. For further information and eligibility please visit the UKVI website .

Job details

Job title Computer Vision and Machine Learning Specialist KTP Associate Job reference REQ250487 Date posted 13/06/2025 Application closing date 25/06/2025 Location Loughborough Package £34,000 to £38,000 per annum plus training budget of up to £4,500. Job description

Department of Computer Science

TrainFX

Computer Vision and Machine Learning Specialist (KTP Associate)

Period: 13.5 months (Full time)

Salary: £34,000 to £38,000 per annum (Starting salary to be confirmed on offer of appointment), plus £4,500 training budget

Project Title: AI-empowered Vision System for Passenger Counting and Smart Passenger Information System (PIS)

This project is a Knowledge Transfer Partnership (KTP) project between Loughborough University and TrainFX, funded by UKRI Innovate UK, with 13.5 months remaining.

This is an exciting opportunity for a forward-thinking and ambitious specialist in computer vision and machine learning to join a company that specialises in providing SAAS services to the Rail Industry. Working with some of the biggest Train Operators in the UK, you will be joining a company that finds ways to help make services to Rail passengers better, faster and more accessible for everyone.

The project aims to develop computer vision technology for automated counting of passenger numbers and monitoring occupancy in train carriages and integrate the real-time passenger loading information into TrainFX Smart-PIS (Passenger Information System).

The AI-empowered Smart-PIS will provide dynamic data acquisition and real-time, personalised information supporting travellers, railway operators and service providers. The system will improve current service efficiency, promote passenger satisfaction, and provide the potential for new services through affordable technologies. It is the first of this kind of innovative system in railway which enables bespoke customisation towards rail industry objectives.

The whole KTP project will be delivered through dual Associate workplans by two KTP Associates.KTPs aim to help businesses improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK Knowledge Base.

The candidate will be hold PhD (or near completion) or MSc in Computer Science or closely allied disciplines and will have solid skills to support software QA and optimise I/O performance.

The KTP Associate will be based primarily at the company TrainFX premises in Derbyshire and will also spend some time at Loughborough University with the academic team. The Associate will be supervised by an academic team led by Prof. Baihua Li and Prof. Qinggang Meng who are experts in AI and computer vision at Department of Computer Science, Loughborough. The Associate will form an integral part of the TrainFX research and development team, working closely with the TrainFX supervisory team and company partners.

For more information refer to the Job Description and Person Specification.

Informal enquiries

Informal enquiries should be made to the Lead Academic, Professor Baihua Li ([e-mail] ).

The closing date for receipt of applications is 25 June 2025.

The interviews will take place on or around 3 and 4 July 2025.