Research Associate in Computational Cardiovascular Science
University of Oxford, Department of Computer Science
United Kingdom

We are looking for a highly motivated full-time Research Associate to work within the Computational Cardiovascular Science Team ( until 30 September 2022.  

Conducting original research under the supervision of Dr Alfonso Bueno, you will be developing personalised human ventricular models, based on multi-modality magnetic resonance and electrocardiographic imaging studies from patients, and conducting high performance computing studies using the personalised models, in order to investigate risk stratification and tailoring of pharmacological therapy. 

The overall project aims to develop computer models and perform high performance computing studies of the human heart to better understand structural heart disease, and in particular the deadly inherited heart condition known as hypertrophic cardiomyopathy. The work involves close international, multi-institutional and cross-disciplinary collaborations involving world-experts in clinical and experimental cardiac electrophysiology.

You will hold a PhD (or be close to completion) in biomedical engineering, computer science, or mathematical biology. You will have experience of working in multiscale cardiac modelling, C++, Fortran or equivalent general-purpose programming language(s), and the ability to manage your own academic research and associated activities, including collaborations with industrial partners. 

The closing date for applications is 12.00 noon on 16 August 2019. Interviews are expected to be held after 22 August 2019. 

Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example, as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example maternity leave. 

Closing Date: 16-AUG-2019 12:00

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