Post-doc position in computational cardiac electrophysiology

Cardiac arrhythmias are associated with sudden cardiac death, which is responsible for 15-20% of annual morbidity worldwide. Unfortunately, the state of the art in the treatment of arrhythmias remains suboptimal. The development of new and effective therapies requires improvement of the understanding of the disease: its mechanisms for onset, progression and termination, for necessitate truly cross-disciplinary approaches. Currently, cardiac arrhythmias are diagnosed in the clinic on the basis of electrocardiogram (ECG) signals. However, these do not provide sufficient and detailed information about the possible underlying causes. In order to connect the different scales of the problem (cell-tissue-organ) and identify the respective impacts on the ECG, we resort to the use of mathematical models. The grand aim of the project will be to develop an electrophysiologically-detailed, comprehensive model of the cardiac electrical conduction system (CECS), that is dedicated to the study of cardiac arrhythmias. The successful candidate will be expected to develop a finite-element model of the human heart from which ECGs signals can be extracted and compared with clinical data.

Learn more on the project of Rupamanjari Majumder