PhD fellowship - Computational Models for Improved Assessment of Diastolic Function

PhD fellowship - Computational Models for Improved Assessment of Diastolic Function

A 3-year PhD-fellowship is available at the Intervention Centre at Oslo University Hospital. This is one out of two fellowships at The Intervention Centre that is part of the Cardiovascular Digital Twin network comprising a total of 15 fellowships across Europe. The project is funded by the European Research Council’s MSCA program.

Project and Job Description

Heart failure affects millions of people worldwide, and around half of all cases are linked to problems with the heart's ability to relax and fill properly during diastole. This project aims to improve the assessment of diastolic function by combining echocardiographic measurements with patient-specific digital twin technology.

The doctoral candidate will develop mathematical models that link clinically acquired echocardiographic data to the underlying physiological and mechanical properties of the heart. By integrating imaging information with computational models, the project seeks to estimate clinically important parameters that are otherwise difficult to measure without invasive procedures.

The candidate will participate in the collection and analysis of animal and clinical datasets, including echocardiographic studies with simultaneously recorded invasive pressure measurements. These data will be used to develop, calibrate, and validate the proposed modelling approaches.

Planned Research stays

• King's College London, United Kingdom (2 months): training in advanced cardiac digital twin and heart modelling technologies.
• Maastricht University, Netherlands (1 month): training in the CircAdapt cardiovascular modelling platform and model personalisation methods.