Research Worker (F6 PIC)
£30,216 to £33,696 per annum
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 investigate the feasibility and performance of methods to estimate pressure differences from imaging data (MRI or ultrasound) removing the need of invasive catheters. Clinical diagnostic guidelines of conditions such as valve stenosis use risk markers based on the pressure drop through the flow obstruction. This project involves interpreting clinical images within the context of physical constraints encoded in mathematical models.
Using a novel mathematical model patented at KCL, this project will investigate how to better characterise flow inefficiencies based on viscous dissipation or the sudden change of linear momentum. In order to achieve an easy clinical adoption, the project will also investigate the use of planar wave imaging or contrast agents in ultrasonography.
The selection process will include a presentation and a panel interview.
Interviews are scheduled to be held the week commencing: Mid October 2017
For an informal discussion to find out more about the role please contact Pablo Lamata firstname.lastname@example.org
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.
01 October 2017
(Word Document 266k)
If you have questions about this role, please contact:
Pablo Lamata, Dr, Email: email@example.com,
Note: Only one document can be uploaded. If you wish to submit any additional information please include it within the application form.
Academic and Research Application Form