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  Digital twin for personalised uterine pregnancy model


   School of Mechanical, Aerospace and Civil Engineering

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Pregnancy is a challenging process to model and replicate due to the complex physiological changes and adaptations. Much is yet to be learnt about pregnancy and why it could go wrong sometimes and lead to conditions such as pre-term birth, which could cause life-long adverse conditions for the baby. The team at the Barcelona Supercomputing Centre has created a generic pregnancy model using their high performance computational mechanics algorithm Alya, by coupling solid mechanics with electrophysiology. This project aims to personalise this model using medical images (MRI) collected from pregnant mothers at Sheffield in order to build a more realistic digital twin with accurate descriptions of the uterine and cervix anatomy. This is part of a wider initiative to create in silico medicine techniques by the INSIGNEO Institute of in silico Medicine. The project is in collaboration with the Barcelona Supercomputing Centre.

This is a self-funded research project. Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive:

We require applicants to have either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in a relevant science or engineering subject from a reputable institution.

Potential candidates should have fundamental knowledge in solid mechanics and finite element analysis. You should also have some interest in high performance computing and are willing to learn relevant computational techniques.

Engineering (12)

Funding Notes

The project is only available for self funded students.

Register your interest for this project