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What is Computational Cardiovascular Science?

Computational Cardiovascular Science aims at the combination of computational methods in cardiovascular research to integrate and expand the information extracted from a range of experimental and clinical data including biosignals and medical images.

Our group is part of the BHF Centre of Research Excellence at Oxford, and includes scientists based at the Department of Computer Science and the Bioengineering Institute, with strong links with the Departments of Cardiovascular Medicine and Physiology, and established collaborations with clinical and experimental collaborators in academia, hospitals, pharmaceutical companies and regulatory agencies.

Translation from basic science to clinical and industrial applications is central to our research. We are also committed to training of postdocs and graduate students in an interdisciplinary, dynamic and flexible research environment to help them acquire the necessary skills for future jobs in academia, industry or government. Our research is currently supported by the Wellcome Trust, the BHF, the European Commission, EPSRC, IMI, ARCHER and the NC3Rs. We have previously been awarded funding from the Leverhulme Trust, the Royal Society,the Royal Academy of Engineering,  the MRC and the BBSRC.

News & Events

Open position!

Open position!

Posted 30/08/2017

We have an opening for a full time Grade 7 Research Associate to work within the Computational Cardiovascular Science Team for up to 2 years, with the possibility of extension for up to 3 additional years. The project aims to develop computer models and perform high performance computing studies of the human heart to better understand the deadly inherited heart condition known as Hypertrophic Cardiomyopathy (HCM). The work involves close international, multi-institutional and cross-disciplinary collaborations involving world-experts in clinical and experimental cardiac electrophysiology.

As a researcher on this project, you will contribute to the development of personalised human anatomical models for HCM patients, based on multi-modality magnetic resonance imaging studies; and will conduct high performance computing studies using the personalised models, in order to investigate risk stratification and tailoring of pharmacological therapy in HCM.

The closing date for applications is 12 noon on Friday 22nd September. Interviews will be held on Monday 9th October.

You can find all the information here!


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