Mauro Vallati
1 year ago
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Computer Science, AI, Smart Transportation University of Huddersfield in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD opportunity
Deadline
Expired
Country
United Kingdom
University
University of Huddersfield
Suggested positions
Keywords
Computer Science
Transportation Engineering
Artificial Intelligence
Urban Planning
Knowledge Representation
Traffic Management
Multimodal Transportation
Planning And Operation
About this position
Funding details
Fully funded PhD opportunity
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
University Name
United Kingdom
Research Interests
Artificial Intelligence
Project Management
Planning And Operation
Autonomous Vehicle
Multimodal Transportation
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
?? Location: University of Huddersfield
?? Stipend: £20,780 (2025/26 rate) + Full Tuition Fees
?? Application Deadline: 1st August 2025.
?? Starting Date: 1st October 2025.
?? Project Title:
Scalable Automated Planning Approaches for Urban Traffic Control
?? Project focus:
In the UK, with 32.5 million vehicles on the roads, congestion is a growing problem, costing the economy over £8 billion annually and each citizen an average of 115 hours stuck in traffic every year.
Artificial Intelligence approaches, particularly automated planning techniques, have already proven effective in optimising traffic light timings to manage both everyday patterns and unusual traffic conditions. The techniques developed by the AI4UTMC research team ( https://www.ai4utmc.info/ ) of the University of Huddersfield have been deployed to control traffic after recent concerts at the John Smith Stadium, as well as in urban regions of England. They can efficiently achieve specific goals set by transport engineers, like reducing delays or prioritising emergency vehicles.
This project will address the critical challenge of extending the capabilities of automated planning systems to manage traffic across entire urban regions.
The core of this project involves advancing the field of Knowledge Engineering for Planning and Scheduling specifically for the urban traffic control (UTC) domain. The aim is to develop methodologies for creating, maintaining, and validating planning domain models that can accurately represent the complex dynamics of city-wide traffic while remaining computationally tractable for automated planners.
?? Eligibility:
UK applicants only
This project requires an exceptional candidate with a strong knowledge of Computer Science topics, particular AI and symbolic AI, and prior experience or significant interest in Smart Transportation.
?? How to Apply?
1. Download the Expression of Interest Form ( https://lnkd.in/eGvXvUUz )
2. Email your completed form, transcripts, certificates, and two references to:
?? [email protected]
?? Questions?
Send me a message, or an email at [email protected]