Publisher
source

Manchester Metropolitan University

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Fully Funded PhD in Semantic Outcrop Reasoning, 3D Deep Learning and Explainable AI Manchester Metropolitan University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded through the Graduate Teaching Assistant Scholarship, offering a full fee waiver, stipend, and professional teaching experience for Home students.

Deadline

Oct 4, 2026

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Country

United Kingdom

University

Manchester Metropolitan University

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Keywords

Computer Science
Geology
Virtual Reality
Earth Science
Digital Twin Technology
Explainable Ai

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About this position

Manchester Metropolitan University is advertising a fully funded PhD in Semantic Outcrop Reasoning, an interdisciplinary project at the intersection of computer science, geology, earth science, semantic modelling, 3D deep learning, and explainable AI. The project aims to rethink how experts interpret complex geological environments using semantic technologies, uncertainty-aware reasoning, and human-centred evaluation.

The successful PhD researcher will develop skills in 3D data analysis, semantic technologies, explainable and uncertainty-aware AI, and will test the work in VRGeoscience Limited's VRGS platform. The topic is especially relevant for applicants interested in digital twins, geological interpretation, and AI methods for scientific reasoning.

Funding is provided via the university’s Graduate Teaching Assistant Scholarship, which includes a full fee waiver, a stipend, and professional teaching experience. The post specifically notes that this funding is for Home students.

Applicants are welcomed from AI, data science, computing, geoscience, or related backgrounds, especially those with an interest in reasoning, modelling, or explainable systems. The closing date is 4 October 2026. Interested candidates should follow the project link and review the application details carefully before applying.

Funding details

Fully funded through the Graduate Teaching Assistant Scholarship, offering a full fee waiver, stipend, and professional teaching experience for Home students.

What's required

Applicants should have an interest in AI, data science, computing, geoscience, or a related field, with curiosity about reasoning, modelling, or explainable systems. The post highlights interdisciplinary research skills and suitability for candidates who are collaborative and excited by cross-disciplinary work. The scholarship is for Home students.

How to apply

Open the project link and review the PhD opportunity details. Prepare an application for the advertised project before the closing date of 4 October 2026. Check eligibility carefully, especially the Home student funding condition.

More information can be found here

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