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Position: PhD Studentship in Railway Dwell Time Analysis and Optimisation
Institution: University College London
Department: Civil, Environmental & Geomatic Engineering
Location: London, United Kingdom
Duties: The studentship involves analysis of train service dwell times and optimisation of passenger boarding. The project involves big data analytics. The studentship will include placements at partner organisations. This would provide the student with opportunities to not only work on the data held by the partners but also to understand the business operations of railway organisations and build people networks
Requirements: We are looking for an outstanding candidate who will have obtained, a Bachelor’s degree at either a first or upper second level, and a Master degree in any of the following disciplines: Computer Science, Transport Engineering, or any other disciplines which involves big data analytics. We do not expect candidates to possess prior railway knowledge, but knowledge and experience in data and associated statistical analysis would be appreciated
   
Text: PhD Studentship in Railway Dwell Time Analysis and Optimisation , - Ref:1724815 Click here to go back to search results UCL Department / Division Civil, Environmental & Geomatic Engineering Location of position London Duration of Studentship 3 years Stipend ?16,777 per annum Vacancy Information UCL Railway Research Group is one of the leading research organisations and conducts unique yet high-impact research for urban railway operations and engineering. The group is working with railway operators, infrastructure managers and policy organisations around the world. We are pleased to invite you to apply for a 3-year PhD studentship to work on a Network Rail, Transport for London, and Engineering and Physical Sciences Research Council (EPSRC)-funded project that analyses and optimises train service dwell times. The studentship covers UCL registration fees and provides a stipend of ?16,777 per annum tax free (2018-19 rate, the amount may increase according to UCL?s guidelines). The successful applicant is expected to start in September/October 2018 but can start earlier or later than this date. Applicants should send a covering letter and CV to Dr Taku Fujiyama taku.fujiyama@ucl.ac.uk Studentship Description The studentship involves analysis of train service dwell times and optimisation of passenger boarding. The project involves big data analytics. The studentship will include placements at partner organisations. This would provide the student with opportunities to not only work on the data held by the partners but also to understand the business operations of railway organisations and build people networks. Person Specification We are looking for an outstanding candidate who will have obtained, a Bachelor?s degree at either a first or upper second level, and a Master degree in any of the following disciplines: Computer Science, Transport Engineering, or any other disciplines which involves big data analytics. We do not expect candidates to possess prior railway knowledge, but knowledge and experience in data and associated statistical analysis would be appreciated. Eligibility You are eligible if you are a UK citizen or a citizen of an EU country (but is residing in UK). Applicants must meet EPSRC eligibility requirements found here http://www.epsrc.ac.uk/skills/studentships/help/eligibility/ Contact name Dr. Taku Fujiyama Contact details taku.fujiyama@ucl.ac.uk UCL Taking Action for Equality Closing Date 25 May 2018 Latest time for the submission of applications 11:59 Interview date TBC Studentship Start Date September/October 2018
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