Charisma Choudhury
Top university
10 months ago
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PhD Scholarship in Modelling Travel Behaviour, Emerging Data, and Climate Change Adaptation University of Leeds in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully-funded scholarship covering tuition and stipend for the duration of the PhD. Open to both local and international applicants. Funded by UKRI Future Leader Fellowship, with a total project value of £594,419 for the period May 2025 to May 2028.
Deadline
Expired
Country
United Kingdom
University
University of Leeds
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About this position
The University of Leeds is offering a fully-funded PhD scholarship focused on modelling travel behaviour in a changing climate using emerging data sources. This opportunity is led by Professor Charisma Choudhury, UKRI Future Leader Fellow, in collaboration with Dr Yu Wang and Dr Roger Cremades. The research is based at the Choice Modelling Centre (CMC) and the Institute for Transport Studies at Leeds.
The project aims to develop next-generation mathematical models of travel behaviour, leveraging new frameworks that integrate choice modelling, ubiquitous computing, and machine learning. The research will utilise passively generated real-world mobility traces (from public transport smart cards, mobile phones, etc.), neurophysiological signals, and virtual reality to model decision-making in future scenarios, including emergency situations such as natural disasters and acute transport network disruptions.
Key research areas include travel behaviour, climate change adaptation, data fusion, and the use of advanced technologies like VR and wearable sensors to capture cognitive states and collective behaviour. The project seeks to address limitations in current behaviour models by incorporating psychological factors, impulsive decision-making, and more realistic data sources.
The scholarship is open to both local and international applicants, with funding provided by the UKRI Future Leader Fellowship. The total project value is £594,419, covering tuition and stipend for the duration of the PhD (May 2025–May 2028). Applicants should have a strong background in engineering, computer science, environmental science, or related fields, and an interest in travel behaviour modelling, machine learning, or climate change adaptation.
To apply, candidates should complete the pre-screening form linked in the comments section of the LinkedIn post. Shortlisted candidates will be interviewed on a rolling basis, and early application is encouraged. For more information, visit the provided project and LinkedIn links.
Funding details
Fully-funded scholarship covering tuition and stipend for the duration of the PhD. Open to both local and international applicants. Funded by UKRI Future Leader Fellowship, with a total project value of £594,419 for the period May 2025 to May 2028.
What's required
Applicants should have a strong academic background in engineering, computer science, environmental science, or a related field. Experience or interest in travel behaviour modelling, machine learning, data analysis, or climate change adaptation is preferred. Open to both local and international candidates. No specific GPA or language test requirements mentioned, but strong communication and analytical skills are expected.
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Professors
Professor and UKRI Future Leader Fellow
United Kingdom
Research Interests
Transportation Engineering
Epidemiology
Transportation Economics
Travel Behavior
Human Mobility
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