Publisher
source

University of Liverpool

Just Landed

Fully Funded PhD in AI for Fetal Growth Monitoring at the University of Liverpool University of Liverpool in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

This is a four-year studentship covering tuition fees and providing a UKRI-rate stipend. International awards are limited and highly competitive.

Deadline

Nov 27, 2026

Country flag

Country

United Kingdom

University

University of Liverpool

Apply for this position

Keywords

Computer Science
Biomedical Engineering
Artificial Intelligence
Computer Vision
Medical Science
Maternity Care
Fetal Growth
ML

Suggested positions

Publisher
source

University of Liverpool

Country flag

United Kingdom

PhD opportunity at the University of Liverpool in Artificial Intelligence for Medical Imaging and Biomedical Data Analysis . This project focuses on developing new AI, machine learning, and computer vision methods for complex healthcare data. The research will address a defined clinical or biomedical problem and may involve multimodal learning , spatiotemporal modelling , generative AI , foundation models , and interpretable AI . Potential data sources include retinal imaging , ultrasound imagin...

Computer Science
Biomedical Engineering
Electrical Engineering
+6 more

1 month ago

Publisher
source

Mihaela van der Schaar

University of Cambridge

Country flag

United Kingdom

Mihaela van der Schaar is opening applications for another year of fully funded PhD positions in Machine Learning in her group, with a 2027 start . The opportunity is aimed at outstanding students who want to build AI that changes the world for the better. The post is from the van der Schaar Lab at the University of Cambridge , led by Mihaela van der Schaar , whose research spans machine learning , artificial intelligence , and medicine . This makes the opening especially relevant for applicants...

Computer Science
Biomedical Engineering
Medicine
+4 more

3 weeks ago

Publisher
source

University of Southampton

Country flag

United Kingdom

PhD opportunity at the University of Southampton in artificial intelligence, machine learning, computer vision, and medical image analysis . The project, Artificial intelligence techniques for illness detection by using MRI , focuses on developing AI methods to detect hypoxic-ischaemic encephalopathy (HIE) in newborn babies by analysing MRI / Susceptibility Weighted Images (SWIs) . The aim is to identify brain injury earlier than the current clinical practice and to help clinicians target early ...

Computer Science
Biomedical Engineering
Deep Learning
+8 more

3 weeks ago

Publisher
source

Liang Zhao

The University of Edinburgh

Country flag

United Kingdom

Liang Zhao is recruiting a Postdoctoral Research Associate in Embodied AI to join his group in the School of Informatics at The University of Edinburgh , United Kingdom. The full-time appointment lasts 24 months and focuses on embodied artificial intelligence, with related research interests in robotics, computer vision, machine learning, and AI. Applicants should hold a PhD or be close to completing one in AI, robotics, computer vision, machine learning, or a related discipline. The salary is £...

Computer Science
Artificial Intelligence
Computer Vision
+2 more

2 days ago

Publisher
source

University of Exeter

Country flag

United Kingdom

[Funded studentship with fees covered and a stipend of £21,805 per annum for 2026/7.] PhD studentship at the University of Exeter for research on R2T2-Med: Resource-Aware AI for Scalable and Deployable Medical Image Analysis . This project addresses a major challenge in modern healthcare AI: medical image analysis models can be accurate, but often require high computational power, memory, and processing time. That makes them difficult to scale to population-level research and expensive or imprac...

Computer Science
Biomedical Engineering
Deep Learning
+5 more

1 week ago

About this position

This fully funded PhD investigates how artificial intelligence can support fetal growth monitoring and improve pregnancy care. The project will use longitudinal ultrasound data to identify high-risk fetal growth trajectories, with the aim of enabling more informed monitoring and earlier recognition of pregnancies that may require additional clinical attention.

Based in the Faculty of Health and Life Sciences at the University of Liverpool, the project forms part of the MRC North West Doctoral Programme in Medical Sciences. The research sits at the intersection of medical science, artificial intelligence, computer vision, machine learning and biomedical analysis, offering an opportunity to develop methods for applying advanced computational techniques to clinically important ultrasound data.

The doctoral researcher will work on the analysis of fetal growth patterns over time and the development of AI approaches relevant to pregnancy care. The project provides a research environment combining doctoral training in medical sciences with interdisciplinary work across health, mathematics, science and engineering.

Funding details

This is a four-year studentship covering tuition fees and providing a UKRI-rate stipend. International awards are limited and highly competitive.

What's required

Applicants should hold a first-class or 2:1 degree, or equivalent, in science, mathematics or engineering. Experience in computer vision or machine learning is desirable. International awards are limited and highly competitive.

How to apply

Complete the online MRC NW-DMS DLA candidate application form for 2027/28 entry at the University of Liverpool. Project details are available through FindaPhD.com by searching for MRC NW-DMS.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.