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Bayesian calibration methods for cardiac electrophysiology models

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

The School of Mathematical Sciences of Queen Mary University of London invite applications for a PhD project commencing either in September 2019 for students seeking funding, or at any point in the academic year for self-funded students. The deadline for funded applications is 14 January 2019 (if you wish to be considered for the Alan Turing Institute studentship) or 31 January 2019 for all other funded studentships.

This project will be supervised by Dr Silvia Liverani.

Calibration is the process of using physical data to estimate the tuning parameters in computational models. This PhD project will help to quantify how confident we can be about the outcomes of using a computer model for cardiac electrophysiology models by first quantifying our confidence in the clinical recordings and measuring biological variability. This knowledge is essential if the model is used to guide clinical decision-making to ensure patient safety. This project will be carried out in collaboration with a team at Imperial College London.

The application procedure is described on the School website. For further inquiries please contact Dr Silvia Liverani at . This project is eligible for full funding, also via the Alan Turing Institute (note the earlier deadline of 14 January 2019), including support for 3.5 years’ study, additional funds for conference and research visits and funding for relevant IT needs. Applicants interested in the full funding will have to participate in a highly competitive selection process.

Funding Notes

The project can be also undertaken as a self-funded project, either through your own funds or through a body external to Queen Mary University of London. Self-funded applications are accepted year-round.

The School of Mathematical Sciences is committed to the equality of opportunities and to advancing women’s careers. As holders of a Bronze Athena SWAN award we offer family friendly benefits and support part-time study. Further information is available here. We strongly encourage applications from women as they are underrepresented within the School.

We particularly welcome applicants through the China Scholarship Council Scheme.

Related Subjects

How good is research at Queen Mary University of London in Mathematical Sciences?

FTE Category A staff submitted: 34.80

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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