Research Fellow in Railway Timetabling and Artificial Intelligence

University of Leeds

Leeds, United Kingdom

ID: 7075051 (Ref.No. ENVTR1131)
Posted: February 12, 2021

Job Description

Do you have research experience in Artificial Intelligence (AI) and/or Railway Timetable Optimisation? Are you interested in conducting research to bridge these disciplines? Would you like to explore and implement novel AI technologies to advance the state-of-the-art in railway timetable planning and operation?

This role provides an exciting opportunity to contribute to a major research innovation project “Dynamic Train Planning (DTP)”. Funded by InnovateUK and joining forces among railway operations, leading software provider and academic institutions, DTP seeks to develop innovation and capability that allows the railway industry to make near-real time changes to the timetable in use. 

We are looking for a committed, highly motivated and innovative individual with strong technical research skills in artificial intelligence, optimisation, and/or timetable planning to undertake a key part in the DTP project. More specifically, the research is focused on the development of intelligence and capability for automation in timetable planning and rescheduling.

Based at the Institute for Transport Studies (ITS), you will be a member of the DTP project team and you will have the opportunity to interact with the other industry and academic teams in the programme. At ITS, you will be a member of the Spatial Modelling and Dynamics group and will be expected to contribute towards the vibrant research culture within ITS. Opportunities for the development of an independent research profile will also be provided. 

Your qualifications and experience will include an honours degree followed by a postgraduate qualification in a relevant discipline (such as computer science, mathematics, physical science, engineering or transport studies). The opportunity would suit someone with skills in computer programming, mathematical modelling and/or optimisation.

To explore the post further or for any queries, you may have, please contact:

Professor Ronghui Liu, 

Email: R.Liu@its.leeds.ac.uk 


Location:  Leeds - Main Campus
Faculty/Service:  Faculty of Environment
School/Institute:  Institute for Transport Studies
Category:  Research
Grade:  Grade 7
Salary:  £33,797 to £40,322 p.a.
Due to funding limitations, it is unlikely an appointment will be made above £36,914
Working Time:  100% - We will consider job share / flexible working arrangements
Post Type:  Full Time
Contract Type:  Fixed Term (for 12 Months to commence by 31st May 2021 (External funding))
Release Date:  Wednesday 10 February 2021
Closing Date:  Monday 15 March 2021
Reference:  ENVTR1131


The University community is made up of a wide range of people with diverse backgrounds and circumstances, which we value and regard as a great asset. As part of our continued commitment to equality and inclusion, we strive to create an environment where everyone can reach their full potential and have a real opportunity to participate in and contribute to our activities.



 

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