Publisher
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University of Bath

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

Degree Level

PhD

Field of study

Computer Science

Funding

Bath Engineering & Design Studentships indicates a funded studentship/PhD opportunity, but the post does not specify stipend amount, tuition coverage, or exact funding terms.

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Country

United Kingdom

University

University of Bath

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Keywords

Computer Science
Electrical Engineering
Computer Vision
Spatial Ability
Robotics
Spatial Reasoning

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About this position

PhD opportunity at the University of Bath in Multimodal Spatial Intelligence and Traffic World Models.

This project sits at the intersection of computer vision, multimodal AI, spatial reasoning, and traffic-environment modeling. The research aims to develop methods that better understand and represent complex traffic scenes using multiple data modalities and intelligent spatial inference.

The opportunity is shared from the research group supervised by Nic Zhang at the University of Bath. It appears to be part of Bath Engineering & Design Studentships, suggesting a funded PhD studentship, although the post does not provide full funding details.

This is a PhD opening only. No postdoctoral or master's position is mentioned. The post does not list detailed entry requirements, but applicants should expect a strong background aligned with AI, vision, robotics, or related computational fields.

For full information and application steps, use the linked FindAPhD listing and follow the advertised application instructions.

Funding details

Bath Engineering & Design Studentships indicates a funded studentship/PhD opportunity, but the post does not specify stipend amount, tuition coverage, or exact funding terms.

What's required

Applicants interested in PhD research in computer vision, multimodal AI, spatial reasoning, and traffic environment modeling are encouraged to apply. The post does not specify detailed eligibility criteria, degree prerequisites, GPA, or language requirements.

How to apply

Open the linked FindAPhD page for full project details and application instructions. Review the studentship information and submit an application through the advertised portal.

More information can be found here

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