PhD: Multimodal Spatial AI for Urban Traffic World Models

Postgraduate Studentships; Bath; Hybrid; GBP 20,000 - 24,000; Full time

Benefits offered by this job

Tuition fees covered

Stipend £21,805 (2026/27 rate)

Job summary

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.

Qualifications

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

Responsibilities

• 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.

Skills

Coding

Machine Learning

Data Analysis

Urban Traffic

Education

UK Honours degree 1st or 2.1

Master’s level qualification

Tools

Multi-camera tracking

Job description

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.