PhD fellowship: Improve Aortic Valve Disease Assessment Using Experimental and Computational Models

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 (https://www.cdtnet.eu/). The project is funded by the European Research Council’s MSCA program.

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Arbeidsoppgaver

Project and Job Description

Transcatheter aortic valve implantation (TAVI) has transformed the treatment of aortic valve disease, allowing many patients to receive life-changing therapy without open-heart surgery. However, the growing use of TAVI has also increased the need for accurate methods to assess valve disease, identify patients who will benefit from intervention, determine the optimal timing of treatment, and evaluate outcomes after the procedure. Current echocardiographic measures of valve severity and haemodynamic performance rely on simplified assumptions about valve geometry and blood flow that may not fully reflect the complex flow conditions present in individual patients.

This project aims to improve the assessment of aortic valve disease through the development of patient-specific experimental and computational models. The doctoral candidate will develop three-dimensional printed models of diseased aortic valves and play a central role in the further development and validation of a laboratory-based mock circulation platform capable of reproducing physiological pulsatile flow conditions. This experimental framework will enable the acquisition of high-fidelity pressure and flow measurements that can be directly compared with echocardiographic assessments.

A central objective of the project is to investigate the accuracy and limitations of current echocardiographic methods for estimating transvalvular pressure gradients and valve severity. By combining controlled experimental studies with patient-specific valve geometries, the project will identify haemodynamic and anatomical conditions under which commonly used echocardiographic assumptions break down and explore how these limitations can be overcome. Emerging ultrasound techniques such as blood speckle tracking (BST) will also be evaluated to determine whether they provide additional haemodynamic information beyond conventional Doppler methods.

To provide mechanistic insight into the experimental findings, computational fluid dynamics (CFD) models, including fluid–structure interaction (FSI) simulations where appropriate, will be developed and validated against experimental measurements. These models will be used to investigate the relationships between valve morphology, flow patterns, pressure recovery, and pressure loss, helping to explain the limitations of simplified Bernoulli-based approaches. The computational framework will also serve as a theoretical framework for the development of improved echocardiographic methods based on clinically obtainable measurements, which will subsequently be evaluated and validated against reference measurements obtained in the mock circulation system.

The candidate will benefit from access to one of Europe's largest TAVI programmes, extensive clinical and experimental datasets, and international secondments with research groups in London and Ghent that have extensive experience in cardiovascular mock circulation systems and experimental haemodynamics. These collaborations will support the development of the experimental platform and provide opportunities for advanced training and knowledge exchange.

The project will be conducted in close collaboration with cardiologists and clinical researchers involved in the assessment and treatment of patients with aortic valve disease. While echocardiographic examinations will be performed by collaborating clinical investigators, the doctoral candidate will play a central role in integrating experimental, computational, and clinical perspectives to improve diagnostic methods and support more informed treatment decisions. Ultimately, the project aims to improve the evaluation of aortic valve disease and TAVI outcomes by developing diagnostic methods that more closely reflect the underlying haemodynamics, enabling more accurate treatment decisions and more personalized patient care.

Kvalifikasjoner (overskrift)

Desirable Project-Specific Qualifications and Skills

Important Eligibility Rule (MSCA Mobility Requirement)

This position is funded by the European Research Council's MSCA program. To foster international collaboration and knowledge exchange, the program enforces a strict mobility requirement:

We offer:

The PhD-fellow will be based at the Intervention Centre at Oslo University Hospital where the work will be conducted in an interdisciplinary team of research scientists, surgeons, engineers, and university researchers. The employment period is three years (commencing approximately December 2026), including the objective of taking organized academic training (university courses) and the completion of the PhD degree. Admission to a doctoral degree program is a requirement; including undertaking a total of 30 credits coursework from University in Oslo’s (UiO) PhD courses. For regulations concerning the PhD degree at UiO, see: https://www.uio.no/english/research/phd/

Planned Research stays

Application documents:

KontaktinformasjonEspen Remme, espen.remme@medisin.uio.no

ArbeidsstedSognsvannsveien 20

0372 Oslo

Nøkkelinformasjon:Arbeidsgiver: Oslo universitetssykehus HF

Referansenr.: 5167557384

Stillingsprosent: 100%

Contract

Startdato: 01.12.2026

Sluttdato: 30.11.2029

Søknadsfrist: 30.09.2026