|Location:||Loughborough University, Loughborough|
|Salary:||£33,966 to £44,263 per annum. Subject to annual pay award.|
|Placed On:||27th September 2023|
|Closes:||15th October 2023|
Join our School of Science and TrainFX as a Software and Data Science Engineer (KTP Associate)
Full time, fixed term contract
Salary: £35,000 - £40,000 per annum (Starting salary to be confirmed on offer of appointment), plus £5,000 training budget
Due to the nature of the funding, the employment aims to start no later than 20th January 2024.
Project Title: Railway Smart Passenger Information System (PIS)
This is a 30-month Knowledge Transfer Partnership (KTP) project between Loughborough University and TrainFX, funded by UKRI Innovate UK.
This is an exciting opportunity for a forward-thinking and ambitious Senior Frontend Developer 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 integrate the real-time passenger loading information into TrainFX Smart-PIS (Passenger Information System), and improve the PIS through big-data analytics, reporting and forecasting of dynamic, real-time and connected passenger information.
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. The Associates will work closely with and be supported by the company technical team and AI experts at Loughborough University, throughout the project. 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 KTP Associate will be based primarily at the company’s 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. As a KTP Associate, the successful applicant will have access to a wide range of commercial, R&D and management training programmes, as well as technical training resources and facilities at Loughborough University.
For the full job description and person specification please see here.
Informal enquiries should be made to the Lead Academic, Professor Baihua Li (firstname.lastname@example.org).
The closing date for receipt of applications: 15th October 2023
The interviews will take place w/c 23rd October 2023.
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