Bath Engineering & Design Studentships: Multimodal Spatial Intelligence and Traffic World Models

Postgraduate Studentships; Bath; Hybrid; GBP 20.000 - 24.000; Vollzeit

Benefits dieser Stelle

Tuition fees covered

Stipend £21,805 (2026/27 rate)

Zusammenfassung

The University of Bath invites applications for a Bath Engineering & Design Studentship focused on Multimodal Spatial Intelligence and Traffic World Models. This PhD will develop AI methods to build dynamic urban traffic models from distributed roadside cameras and sensing infrastructure.

Applicants should hold a UK Honours degree (1st or 2.1) or international equivalent. A master’s degree is advantageous; English language requirement applies for non-UK applicants.

Qualifikationen

• UK Honours degree (1st or 2.1) or international equivalent.
• Master’s level qualification would be advantageous.
• Competent in coding and machine learning.

Aufgaben

• Develop AI methods for dynamic world models of urban traffic.
• Fuse observations from multiple viewpoints into spatial representations.
• Explore multimodal vision-language models and explainable AI reasoning.

Kenntnisse

Coding

Machine Learning

Data Analysis

Urban Traffic

Ausbildung

UK Honours degree 1st or 2.1

Master’s level qualification

Tools

Multi-camera tracking

Jobbeschreibung

Bath Engineering & Design Studentships: Multimodal Spatial Intelligence and Traffic World Models

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Project Description

This PhD will develop AI methods for building dynamic world models of urban traffic systems from distributed roadside cameras and sensing infrastructure. The project will investigate how observations from multiple viewpoints can be fused into coherent spatial representations that capture vehicle movements, interactions, and evolving traffic conditions across large-scale transportation networks.

Research may encompass multi-camera tracking and re-identification, geo-spatial mapping, 3D scene understanding, multimodal vision-language models, traffic anomaly detection, and explainable AI reasoning. A key objective is to enable AI systems that can not only detect what is happening in a traffic environment, but also explain why events occur and predict how traffic situations may evolve.

The outcomes are expected to contribute to next-generation traffic monitoring, digital twins, network management, safety analysis, and intelligent transportation systems.

Entry Requirements

Applicants must have, or be about to obtain, a UK Honours degree 1st or 2.1, or international equivalent. A master’s level qualification would also be advantageous.

Non-UK applicants, who are not currently studying in the UK, must meet the programme’s English language requirement before the application deadline – no exceptions will be considered.

Applicants should have a science, math, or engineering background and be competent in coding and machine learning.

Fees

Applicants will be considered for a studentship. Studentships cover tuition fees, provide a £1k per annum training support fee, and a maintenance stipend (£21,805 2026/27 rate). International students will be required to cover the cost of a Student visa and Immigration Health Surcharge from personal funds.

Who is eligible to apply?

The Faculty of Engineering and Design at the University of Bath has studentships available for Home and Overseas students. However, in line with UKRI policy, the number of studentships available to Overseas students are capped.

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