Sano PhD Project: Cardiology/Sheffield

Location Krakow
Employment type Full-time
Region / State / Province małopolskie
About job:

Sano PhD Student

Project title: The Role of Neurocardiac Interaction in Arrhythmic Digital Twin Hearts

Publication date: 25.11.2022

Closing date: 20.12 2022

Level of education required: Master's degree

Hours: 40 hours per week

Salary indication: up to PLN 8000 gross monthly


Sano: Dr Maciej Malawski (Extreme Scale Data and Computing Research Group Leader)

University of Sheffield: Dr. Ian Halliday

Project start: Jan 2023

Degree Awarding Body: University of Sheffield

The primary question to be addressed in this project is whether neurocardiac interaction at both Autonomic Nervous System (ANS) level and Intrinsic Cardiac Nervous System (ICNS) level can be incorporated in digital cohort/twin models of the whole human heart, in particular those developing arrhythmias. If so, how are we to approach this in Digital Twin models, given sparse information about both the ANS and ICNS at an individual patient level.

Understanding the role that the ICNS plays in controlling cardiac function, and how it interacts with information between the central command centres of the ANS and integrates sensory information from the myocardium could prove crucial for prophylactic and corrective treatments of heart disease. In particular, clusters of cardiac ganglia neurons located on the surface of the heart, collectively termed ganglionated plexuses (GP), are known to be involved in arrhythmias. An array of imaging, modelling and simulation studies should be devised to address the question of whether Digital Twin Heart modelling can incorporate and will benefit from ANS and ICNS control insights. In particular, can we incorporate knowledge of the structure and function of the Intrinsic Nervous System to provide better modelling of arrhythmias? Further, can this knowledge be used to provide guidance in (optimal) ablation of the ganglionated plexuses?

What are you going to do?

You are expected to:

  • do original research in this field under the direction of the supervisor;
  • participate in the many seminars by internal and external speakers, as well as journal clubs and group activities;
  • collaborate with other PhD candidates, postdoctoral researchers and Sano employees.
What do we require?

Required background and skills of the candidate:

  • Ideally a candidate should possess a 1st Class undergraduate Honours degree or a Master's degree (completed or near completion) in a relevant discipline, such as physics, biophysics, biomedical physics, or biomedical engineering;
  • Theory and practice of numerical methods, excellent programming skills (Python, C and similar);
  • Interest in pursuing cutting edge computational biophysics research;
  • Fluency in English – certificate will be necessary for registration (IELTS or other recognized by University of Sheffield).
Last modified Friday, November 25, 2022