Research Worker (F10 PIC)

King's College London - Biomedical Engineering

The salary will be Grade 5 paid from £30,216 to £33,696 per annum

This post will be Fixed Term Contract for 3 years

The management of cardiovascular conditions is in a continuous improvement driven by technological advances. We now have the opportunity to detect the disease in an earlier stage, to risk stratify each patient, and to plan the optimal timing and strategy of the treatment. And computational models of cardiac physiology offer an ideal pathway to seize this opportunity, by integrating all the rich available information into a cohesive picture, and by then allowing an individualised study of the diagnosis and prognosis.

In this context the successful candidate will be integrated in the prestigious ITN training network “Personalised In-silico Cardiology” (PIC), a coordinated doctoral training initiative provided by academic, industrial and clinical partners (http://picnet.eu).

The specific objective of this role is to build in-silico detailed personalised biophysical finite element models in order to predict the optimal configuration of pacing leads (location and timing) in the application of Cardiac Resynchronization Therapy (CRT) to heart failure.  The goal is to deliver the best possible activation pattern to a failing heart. This project will combine mathematics, numerical methods, image processing and software development to use inverse ECG measurements, tomographic imagery and computer simulations to predict patient activation patterns. It will then investigate (1) the impact of the rate of activation or of an early access to Purkinje network, and (2) the benefit of the adoption of multi lead, multi-pole and endocardial pacing devices.

The selection process will include a presentation and a panel interview.

For an informal discussion to find out more about the role please contact Steve Niederer s.niederer@kcl.ac.uk

To apply for this role, please go to the King’s College London HireWire Job Board and register to download and submit the specified application form.

The deadline for applications is midnight on 18 October 2017

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London