University of Southampton · Faculty of Engineering and Physical Sciences
England, United Kingdom
30 September 2026; exact cutoff time was not stated on the FindAPhD project page.
About This Opportunity
University of Southampton is offering a PhD using machine learning and computer vision to predict pedestrian, cyclist and scooter trajectories in complex shared urban environments.
The project develops behavioural prediction models that improve on conventional social-force approaches by accounting for vehicle momentum, multimodal interactions and human anticipation. Real-world movement data and AI methods will support next-generation urban mobility models.
trajectory prediction pedestrians cyclists machine learning urban mobility
Level PhD
Programme PhD Engineering & the Environment (7175)
Field AI for Pedestrian and Cyclist Path Prediction
Specialization Transportation Engineering
Organization Type University
Requirements
Education
Applicants must have a UK 2:1 honours degree or international equivalent. Experience working with machine-learning systems is desirable.
Experience
Technical Skills
- Machine learning
- Computer vision
- Trajectory prediction
- Behavioural modelling
- Urban mobility modelling
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