Publisher
source

University of Exeter

Just Landed

PhD Studentship in Uncertainty Quantification for Healthcare Models: A Route to Precision Medicine University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Dec 8, 2026

Country flag

Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Biomedical Engineering
Mathematics
Mathematical Modeling
Precision Medicine
Computational Science
Uncertainty Analysis
Medical Science
Surrogate Modeling
Statistics

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About this position

[EPSRC-funded PhD studentship providing fees plus a stipend of £21,805 per annum for 2026/7.]

University of Exeter PhD studentship in Uncertainty Quantification for Healthcare Models: A Route to Precision Medicine.

This project develops methods to make patient-specific mathematical models more credible for use in clinical decision-making. The research is rooted in uncertainty quantification (UQ) and focuses on how to trust, calibrate, and interpret complex cardiovascular models when applied to individual patients.

The successful student will work with a diverse suite of cardiovascular mathematical models and build an efficient UQ pipeline. The main methodological themes are emulation and surrogate modelling, inverse UQ, calibration, and the treatment of model discrepancy or structural uncertainty. These tools are needed because cardiovascular models can be computationally expensive, involve many unknown parameters, and produce multiple outputs, making conventional analysis difficult.

The project sits at the intersection of statistics, cardiovascular physiology, mathematical modelling, and scientific computing. It asks practical questions such as which model parameters are identifiable from clinical measurements, how predictions can be trusted for an individual patient, and where different models perform well or poorly. The overall aim is to develop methods that make model predictions and their uncertainties more defensible for regulators, clinicians, and researchers.

Although the immediate application is cardiovascular healthcare, the methods developed are expected to be transferable to other areas where robust model credibility is important. The student may also engage with additional partners to test the methods in further application areas.

Funding: The studentship is funded by the EPSRC Engineering and Physical Sciences Research Council and provides fees plus a stipend of £21,805 per annum for 2026/7.

Eligibility and fit: The advert does not specify formal grade, test, or background requirements, but the project is clearly suited to applicants with interests in mathematics, statistics, computation, and biomedical modelling.

Deadline: 8 December 2026.

Apply via: the University of Exeter funding page using the official application link.

Funding details

Available

What's required

The project is aimed at a PhD student and is suitable for candidates interested in mathematics, statistics, cardiovascular physiology, mathematical modelling, and scientific computing. No specific GPA, degree classification, or language-test requirement is stated in the provided text.

How to apply

Apply through the University of Exeter funding/application page using the provided link. Submit your application before the deadline of 8 December 2026. Review the full project information on the university page before applying.

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