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The University of Manchester

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PhD Studentship in Calibration Methodologies for Industrial/Geophysics Granular Materials The University of Manchester in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Oct 13, 2026

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Country

United Kingdom

University

The University of Manchester

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Keywords

Computer Science
Mechanical Engineering
Materials Science
Deep Learning
Mathematics
Calibration Techniques
Geophysics
Earth Science
Uncertainty Analysis
Reinforcement Learning
Surrogate Modeling
Granular Material
Physics
Machine learning

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About this position

PhD Studentship at The University of Manchester in Calibration Methodologies for Industrial/Geophysics Granular Materials.

This fully funded PhD project sits at the intersection of mathematics, physics, computer science, mechanical engineering, earth science, and materials science. The research addresses the calibration problem in particulate continuum models and particle simulations, with a focus on developing robust methods for selecting and parameterising contact models for granular materials.

The project will explore indirect/bulk calibration methods using characterisation machines and experimental data, and will integrate AI-driven approaches such as machine learning, Bayesian optimisation, reinforcement learning, deep learning, surrogate modelling, and uncertainty quantification. The aim is to improve calibration strategies for diverse industrial and geophysical materials and identify the best AI-informed approach for discrete particle models.

Funding: 3.5 years, fully funded. The successful candidate receives an annual tax-free stipend at the UKRI rate (£21,805 for 2026/27) and tuition fees are covered.

Eligibility: Home/UK students only. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering discipline.

Deadline: 13 October 2026. The advert notes that applications may be reviewed early and the listing may be removed before the deadline.

How to apply: Email Dr Anthony Thornton at [email protected]. Include your current level of study, academic background, relevant experience, and a paragraph explaining your motivation for the project.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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