Faculty of Technology

Department of Mathematics

Research Fellow in Applied Operational Research/Railway Logistics

Employment type: Fixed-term contract to 31 August 2019

Employment basis:  Full-time

Salary: £34,520 - £37,706 per annum

Post number: ZZ004260

Date published: 03 November 2017

Closing date: 03 December 2017  

Interview date: 11 December 2017

Applications are invited for the position of Research Fellow in the Logistics, Operational Research and Analytics Group at the University of Portsmouth.  The researcher will work on a collaborative multi-disciplinary project funded by RSSB (Rail Safety and Standards Board), involving the University of Portsmouth, Cubic Transportation Systems Ltd., Transport Systems Catapult, Chiltern Railways, Transport for London, Arriva UK Trains Ltd.  

Applicants should have a PhD (or equivalent research experience) in Operational Research, or a related discipline. Experience in applied Operational Research and Logistics is required; and expertise in transport and railway logistics, and predictive modelling is desirable. Ideally, you should have experience in dealing with industrial and/or governmental problem owners and decision makers. Proficiency in computer programming is also required. The applicants should show strong motivation for independent research, and the ability to work with academic and industrial partners.  

Applicants should also be able to perform effectively under pressure and time constraints, possess good organisational and time management skills, pay close attention to detail, and have effective interpersonal skills. Applicants should be willing to undertake travel to work with the partners.  

You will work on the development of intelligent gatelines; using situational awareness to improve customer experience, gate throughput and increase gateline staff effectiveness at mainline and metro stations. This will include the design and implement real-time predictions of crowding at the stations and the length of the queues at the gates; and the optimal configuration of gates to use in both directions and the maximum throughput of each gate. The real time predictions on passenger crowding will be used to determine the optimal gate line configuration to minimise congestion on the platform and maximise passenger safety and comfort.  

Informal enquiries can be addressed to Prof. Djamila Ouelhadj (Djamila.ouelhadj@port.ac.uk), tel: +44 (0) 23 8059 6355, mobile: +44 (0)7818453756; or Prof. Graham Fletcher (Graham.fletcher@cubic.com), tel: +44 (0)7718696788  

For detailed information about the vacancy, please select this link: ZZ004260 - Research Fellow in Applied Operational Research/Railway Logistics.docx