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University of Cambridge

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PhD in Digital-Twin Modelling for Cerebrospinal Fluid Dynamics and Traumatic Brain Injury Monitoring University of Cambridge in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition-funded PhD project for students worldwide. Funding notes mention Gates US applications (round 1) closing 2026-10-14 and Cambridge Trust/Gates Cambridge (round 2) deadline 2026-12-08 for funding eligibility. Funding is not available for Lent or Easter 2027 places; other funding would be needed for those intakes.

Deadline

Dec 8, 2026

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Country

United Kingdom

University

University of Cambridge

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Keywords

Computer Science
Biomedical Engineering
Signal Processing
Electrical Engineering
Mathematics
Neuropsychology
Digital Twin Technology
Traumatic Brain Injury
Cerebrospinal Fluid
Physics
ML

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About this position

PhD opportunity at the University of Cambridge, Department of Clinical Neurosciences, on developing a digital twin model for cerebrospinal fluid dynamics and cerebral haemodynamics to support real-time monitoring of patients after severe traumatic brain injury.

The project combines biomedical engineering, neuroscience, mathematical modelling, machine learning, and physics-informed modelling. The student will work with high-resolution physiological datasets from the Brain Physics Laboratory, including arterial blood pressure, ECG, oxygen saturation, intracranial pressure, cerebral blood-flow velocity, and cerebral oxygenation.

Research tasks include synthesising existing models of cerebral haemodynamics and CSF dynamics, solving forward and inverse problems, and exploring methods such as PINNs, neural differential equations, and operator-learning approaches. A practical output will be a Python-based real-time processing module for the ICM+ neuromonitoring platform.

This is a PhD only project and is described as a competition-funded PhD project for students worldwide. Suitable backgrounds include Biomedical Engineering, Physics, Applied Mathematics, Electrical/Electronic Engineering, Signal Processing, Computer Science, or related quantitative disciplines. Python, numerical modelling, machine learning, differential equations, or physiological signal processing experience would be advantageous.

Funding deadlines mentioned are 2026-10-14 for Gates US applications (round 1) and 2026-12-08 for Cambridge Trust / Gates Cambridge (round 2) funding eligibility. Funding is not available for Lent or Easter 2027 places, so applicants for those intakes would need other funding in place.

Funding details

Competition-funded PhD project for students worldwide. Funding notes mention Gates US applications (round 1) closing 2026-10-14 and Cambridge Trust/Gates Cambridge (round 2) deadline 2026-12-08 for funding eligibility. Funding is not available for Lent or Easter 2027 places; other funding would be needed for those intakes.

What's required

Applicants should have a strong quantitative background, particularly in Biomedical Engineering, Physics, Applied Mathematics, Electrical/Electronic Engineering, Signal Processing, Computer Science or a related discipline. Experience in Python, numerical modelling, machine learning, differential equations or physiological signal processing would be advantageous. The project is PhD only.

How to apply

Register your interest through the FindAPhD page and submit an application to the University of Cambridge. If seeking funding, apply before the relevant funding deadlines and indicate all funding schemes you are eligible for. Contact the supervisor by email for project-specific questions.

More information can be found here

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