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Using artificial intelligence to identify non-compliance against engineering standards for railways

Using artificial intelligence to identify non-compliance against engineering standards for railways

Using artificial intelligence to identify non-compliance against engineering standards for railways

May 25, 2018

Get paid to do a Masters with the Centre for Global Eco- Innovation at Lancaster University (The Sunday Times’ University of the Year 2018) Digital Rail Ltd and Advisory

The Project

Transport is one of the fastest growing contributors to climate change. Rail travel produces lower carbon emissions than travelling by car and offers an efficient alternative for those looking to reduce their carbon footprint. This project will work to understand and increase the efficiencies of railway networks to improve this even further.

This project will utilise Artificial Intelligence (AI), data analysis and modelling techniques to identify and predict problem areas of the UK rail network. These are areas which do not have the resilience and capacity to withstand common problems which lead to train service delays. The associated economic and environmental cost of this is huge, with the need for additional rail services, replacement buses and network maintenance. This project will identify indicators of concern and build a prediction model. This will allow Digital Rail Ltd to work with rail networks to increase efficiencies and direct resources to the most appropriate areas.

This project would suit a graduate with a background in engineering or computer science who is capable of coding and developing advanced APIs.

Enterprise and collaborative partners

This Masters by Research is a collaborative research project between Lancaster University, with supervision by Dr Paul Rayson, and Digital Rail Ltd.

Digital Rail is a business that develops products for railway safety and resilience using advanced technologies in machine learning. It owns intellectual property and patents on several products such as Machine Vision and Big Data analytics. Digital Rail Ltd also provides services and training to railway clients including Independent Safety Assessment (ISA).

1 Year Enterprise-led Funded Masters by Research, Ref. No. 90

  • Get paid £15,000 tax-free

  • Have you tuition fees reduced. Your partner company pays £2,000 towards your fees, meaning UK/EU students pay £2,260, and International students pay £15,945.

  • Be part of the multi award winning Centre for Global Eco-Innovation with a cohort of 50 talented graduates working on exciting business-led R&D.

  • The Centre is based at Lancaster University, so you will gain your Masters from a Top Ten University, recognised as The Sunday Times University of the Year 2018.

  • Finish in a strong position to enter a competitive job market in the UK and overseas.

Apply 

To apply for this opportunity please email graduate-applications@cgeinnovation.org with:

  • A CV (2 pages maximum)

  • Application Form

  • Application Criteria Document

  • Reference Form

This project is part funded by the European Regional development Fund and is subject to confirmation of funding. For further information about the Centre for Global Eco-Innovation, please see their website.

Application deadline

Midnight Tuesday 19th June 2018   Application has ended.

Start: October 2018

 

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