Reference number: SCEBE/21SF/004/BA
A PhD opportunity in the railway industry. The railway industry is challenged with retrofits of smart condition technology to collect wide range of data information towards performance, availability and reliability improvement. The University has links with NetworkRail, Abellio Scotrail and SNC Lavalin in order to build the research connections
Critical system data capture, extraction as well as analysis is envisaged to support decision making on maintenance. Daily routine task optimisation using data analysis and correlation analysis with real time data collection to determine trend (pattern) of critical or subtle event in the system is an area of interest. The successful PhD candidate will join the Engineering Simulation and Advanced Manufacturing Research Group in the newly launched SMART Technology Research Centre at Glasgow Caledonian University.
In this research study, the candidate is expected to:
The candidate is expected to write a detailed proposal not more than 2000 words clearly stating how any of the points above can be executed in the railway industry.
Candidate need to have an MEng or MSc degree in Engineering Subject or MSc Applied Mathematics with strong quantitative data analytic, computer programming experience.
A bench fee of £4000 is require for attendance of relevant prestigious conferences
To apply, please use the relevant link below:
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