Location: | Leeds |
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Salary: | £39,105 to £46,485 per annum (depending on experience) (Grade 7) |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 6th January 2025 |
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Closes: | 13th January 2025 |
Job Ref: | ENVTR1209 |
Location: Leeds - Main Campus
Contract type: Fixed term (up until 31st December 2025 to complete specific time-limited work)
This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.
Travel behaviour models have traditionally relied on survey data. However, in recent years, advances in data science and ubiquitous computing have made it possible to use novel data sources for augmenting travel behaviour models. These include passively generated big data sources (e.g. mobile phone, GPS traces, public transport smart card records) as well as behavioural data collected using virtual reality (VR) experiments where it is possible to collect physiological sensor data like skin conductance, heart rate and Electroencephalography (EEG) signals using non-intrusive techniques.
The NEXUS project, funded by the Future Leader Fellowship Programme of the UKRI, looks at developing next-generation mathematical models of travel behaviour that can better predict the decisions made by travellers in the fast-evolving mobility landscape by augmenting traditional choice modelling techniques with insights from machine learning. We are looking for a committed, highly motivated and innovative individual with a choice modelling background and experience with working with large data sets to work on this exciting long-term research project.
As a member of the team, you will be working with Dr Charisma Choudhury (UKRI Future Leader Fellow, ITS) and Dr Thomas Hancock (Senior Research Fellow, ITS) and will be based at the Institute for Transport Studies (ITS) with cross-university collaborations through the Choice Modelling Centre (CMC).
Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.
For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: www.gov.uk/global-talent
What we offer in return
And much more!
To explore the post further or for any queries you may have, please contact:
Professor Charisma Choudhury
Email: c.f.choudhury@leeds.ac.uk
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