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Julián Ortiz

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2 days ago

PhD in Adaptive Automated Geological Modelling for Sustainable Mining at University of Exeter University of Exeter in United Kingdom

I am recruiting a fully funded PhD student in adaptive automated geological modelling for sustainable mining at University of Exeter.

University of Exeter

United Kingdom

Jan 12, 2026

Keywords

Geology
Mathematics
Mathematical Modeling
Automation
Mining Engineering
Coding
Sustainable Minerals
Geologic Models

Description

The Camborne School of Mines at the University of Exeter is offering a fully funded EPSRC Doctoral Landscape Award PhD studentship for the 2026/27 entry. The research topic is "Adaptive automated geological modelling for sustainable mining applications," focusing on innovative approaches to geological modelling that support sustainable practices in the mining industry. The position is supervised by Professor Julián Ortiz, Mark Cutifani / Anglo American Chair & Professor at the University of Exeter. Applicants should have a strong background in geology, coding, and mathematical modelling. Only those with relevant coding experience will be considered. The program encourages applications from candidates with diverse experiences and backgrounds, fostering an inclusive academic environment. The studentship covers tuition and provides a stipend according to EPSRC guidelines. The application deadline is midday on Monday, 12 January 2026. Interested candidates should carefully review all requirements and, if eligible, contact Professor Julián Ortiz for support during the application process. For more details and to apply, visit the official University of Exeter funding page.

Funding

This is a fully funded EPSRC Doctoral Landscape Award studentship for 2026/27 entry. The funding covers tuition and provides a stipend, as per EPSRC guidelines.

How to apply

Read all requirements on the official University of Exeter funding page. If eligible, contact Julián Ortiz for support in the application process. Submit your application before the deadline. Use the provided links for more information.

Requirements

Applicants must have a strong background in geology, coding, and mathematical modelling. Only candidates with relevant coding experience will be considered. The position is open to outstanding candidates from all backgrounds and encourages diversity and inclusion. Applicants should carefully read all requirements before applying.

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