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Mauro Vallati

1 year ago

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 flag

Country

United Kingdom

University

University of Huddersfield

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Keywords

Computer Science
Transportation Engineering
Artificial Intelligence
Urban Planning
Knowledge Representation
Traffic Management
Multimodal Transportation
Planning And Operation

About this position

?? ?? Fully funded PhD opportunity! ?? ??

?? 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]

Funding details

Fully funded PhD opportunity

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Professors

University Name
Country flag

United Kingdom

Research Interests

Artificial Intelligence

Project Management

Planning And Operation

Autonomous Vehicle

Multimodal Transportation