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University of Bath

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PhD Studentship in Multimodal Spatial Intelligence and Traffic World Models University of Bath in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Studentship available for Home and Overseas students, with Overseas numbers capped under UKRI policy. Funding covers tuition fees, provides a £1,000 per annum training support fee, and includes a maintenance stipend of £21,805 at the 2026/27 rate. International students must pay the Student visa and Immigration Health Surcharge from personal funds.

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Country

United Kingdom

University

University of Bath

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Information Technology
Urban Planning
Intelligent Transportation Systems
Spatial Cognition
Computer Vision
Digital Twin Technology
Smart Cities
Sustainable Transportation

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About this position

PhD opportunity at the University of Bath in Multimodal Spatial Intelligence and Traffic World Models, hosted by the Department of Mechanical Engineering within the Faculty of Engineering and Design.

This project focuses on computer vision, intelligent transportation systems, traffic analytics, multi-camera tracking, geospatial AI, vision-language models, multimodal AI, traffic anomaly detection, digital twins, spatial intelligence, and world models. The research aims to build dynamic AI world models of urban traffic systems using distributed roadside cameras and sensing infrastructure, fusing observations from multiple viewpoints into coherent spatial representations that can explain and predict traffic behaviour.

Potential research directions include multi-camera tracking and re-identification, geo-spatial mapping, 3D scene understanding, multimodal vision-language models, anomaly detection, and explainable AI reasoning. The work is relevant to smart cities, sustainable transportation, network management, safety analysis, and next-generation traffic monitoring.

Eligibility: applicants should have, or be about to obtain, a UK 1st or 2.1 honours degree (or international equivalent). A master’s degree is advantageous. A background in science, mathematics, or engineering is expected, along with coding and machine learning skills. Non-UK applicants not currently studying in the UK must meet the English language requirement before the deadline.

Funding: studentship covers tuition fees, includes a £1,000 per annum training support fee, and provides a maintenance stipend of £21,805 (2026/27 rate). Overseas students can apply, but numbers are capped under UKRI policy. International students must self-fund the visa and Immigration Health Surcharge.

How to apply: submit a formal application via the University of Bath online application form for a PhD in Mechanical Engineering. Quote the project title and the intended supervisor name exactly as instructed, and select University of Bath URSA in the funding section. Informal enquiries can be sent to Dr Nic Zhang at [email protected].

Application note: this is a competition-funded PhD project expected to commence on 04 October 2027, with an alternative start date possible by agreement.

Funding details

Studentship available for Home and Overseas students, with Overseas numbers capped under UKRI policy. Funding covers tuition fees, provides a £1,000 per annum training support fee, and includes a maintenance stipend of £21,805 at the 2026/27 rate. International students must pay the Student visa and Immigration Health Surcharge from personal funds.

What's required

Applicants must have, or be about to obtain, a UK Honours degree at 1st or 2.1 level, or an international equivalent. A master’s level qualification would be advantageous. Applicants should have a science, mathematics, or engineering background and be competent in coding and machine learning. Non-UK applicants who are not currently studying in the UK must meet the programme’s English language requirement before the application deadline.

How to apply

Apply through the University of Bath online application form for a PhD in Mechanical Engineering. Enter the project title and the intended supervisor name exactly as instructed, and select 'University of Bath URSA' in the Funding Your Studies section. You may apply for up to two projects on this programme.

More information can be found here

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