Vacancy for a Research Associate in Clinical Computational Cardiovascular Science - King's College London

King's College London has opened a  2-year position in computational cardiac modelling.

The main objective of this role is to use an in-silico approach to improving the treatment of cardiac arrhythmias. Advanced workflows will be created to analyse comprehensive clinical imaging and electrical data to facilitate the construction of biophysically-detailed, validated computational cardiac models. 

Models will be used: 1) to test and optimise the design of novel electrotherapy electrode configurations and protocols; and, 2) to design state-of-the-art in-procedure computational tools to optimise catheter ablation therapy. 

This work will be performed in close collaboration with the clinical researchers at KCL and St Thomas’ Hospital. 

The post will use the computational and clinical electrophysiological infrastructure provided by the School of Biomedical Engineering and Imaging Sciences and will be based at St Thomas’ Hospital. 

Role profile 

The successful candidate will be expected to work under the supervision of Dr Martin Bishop at KCL. In addition, this project will involve working directly with cardiologists and other collaborators at with KCL and the Medical University of Graz. 

The role forms an important part of an on-going portfolio of research involving the development and use of detailed computational models to understand arrhythmia and antiarrhythmia therapies. The profile of this specific position is focused on the application of cardiac modeling and clinical signal processing to create detailed biophysically-based computational models in order to further develop and validate novel anti-arrhythmia electrotherapy electrode designs and invasive ablation procedures. It may be possible to tailor the specifics of the role to suit an individual candidate’s relevant background, expertise and interests.

Key responsibilities and objectives of the job

• Construction, parameterize and use of the biophysically-detailed computational cardiac models of ischemic heart disease within high-performance cardiac electrophysiological simulation environments (CARP), and perform relevant computational analysis of results. 
• Analyse patient imaging data and electrophysiology measurements to quantify important metrics that may be used to validate and inform model predictions. 
• Support the design and collection of patient data, and to help to interpret and present results. 
• Achieve the above objectives in a coordinated way by effective teamwork and collaboration with colleagues. 
• Contribute to the development and delivery of undergraduate and postgraduate teaching in the department 
• Attend and, as appropriate, present research findings and papers at internal and external academic meetings, seminars and conferences and to contribute to the internal and external visibility of the Department.

If you're interested in the position full information is available here