PhD fellowship - Computational Models for Improved Assessment of Diastolic Function
Teknologi og innovasjonsklinikken (TIK) Seksjon for medisinsk kybernetikk og bildebehandling, Oslo universitetssykehus HF
Sognsvannsveien 20, 0372 Oslo
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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 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.
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.
Krav
- Applicants must hold a Master's degree (or equivalent) in Cybernetics, Electrical Engineering, Informatics, Physics, Mathematics, Biomedical Engineering, Medical Technology, or a related discipline.
- A strong academic record is required with a weighted average grade of B or higher.
- Excellent written and oral communication skills in English are required.
- Candidates must meet the MSCA mobility rule, meaning they have not lived, worked, or studied in Norway for more than 12 months in the last 3 years.
- The candidate must be eligible for admission to a doctoral degree program at the University of Oslo.
Ferdigheter
Erfaring
entry-level