Postdoctoral Research Associate in Cardiac Digital Twins

About the Role
The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our research aims to optimise personalised treatment approaches for atrial fibrillation patients by using long-term therapy outcomes across populations of patients to inform patient-specific predictive treatments. To achieve this, we will develop personalised cardiac models at scale, and update these models over time, using imaging and electrical data collected by collaborators at multiple centres. We are seeking to appoint a postdoctoral research associate as part of a UKRI Future Leader Fellowship funded research programme.

The successful candidate will work as part of a team to develop and apply deep learning approaches to predict long-term treatment outcome from imaging and electrical data on clinical timescales, using a virtual cohort as additional training data. The candidate will also develop novel techniques to update digital twin models over time using longitudinal data, to improve long-term treatment prediction. Finally, the candidate will work with members of our Personalised Cardiac Modelling lab (pcmlab.co.uk) to develop a prototype tool for utilizing this prediction tool in a clinical environment.

About You
You will have expertise in deep learning and programming. Experience working with medical imaging data and finite element modelling is a plus. You will have experience in writing publications and be happy working in a collaborative environment.

About the School
The role will be based at the School of Engineering & Materials Science, Queen Mary University of London, working closely with researchers at the Digital Environment Research Institute & Barts Heart Centre. Barts Heart Centre provides one of the largest arrhythmia and cardiac imaging services in Europe. The candidate will work closely with clinical and industrial collaborators, supported by the Barts Cardiovascular Clinical Trials Unit and Cardiovascular Devices Hub, to translate this research to the clinic.

About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.

Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.

We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

Advert information