Job ID: 106496
PhD Student - Guide Cardiac Resynchronisation
Siemens Healthcare | South England
Siemens Healthcare have a new and exciting opportunity for
a PhD studentship in a co-funded research project looking
at Cardiac Resynchronization Therapy (CRT) in partnership
with King’s College London and Guy’s & St. Thomas’
Hospitals NHS Foundation Trust, leading centres for clinical
translational research..
Heart Failure (HF) is a leading cause of morbidity and
mortality in the developed world. According to clinical
studies, CRT is an efficient treatment for HF for 70% of the
implanted patients. However, 30% of the remaining patients
do not improve or even get worse. These non-responders
are a strong burden to healthcare systems by causing
considerable unnecessary costs.
This project will develop, validate and test novel strategies
for functional and anatomical ventricular characterization in
order to stratify patients with HF. The approach will be
based on multi-parameter characterization of ventricular
motion, scar burden and distribution, electrical activity and
anatomy using non-invasive measurements from medical
imaging (primarily MRI) and body surface potential mapping.
Dimensionality reduction will be carried out using manifold
learning approaches and classification will be achieved
using machine learning techniques
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What do I need to qualify for this job?
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As part of your PhD, you will be asked to
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Review literature
Develop robust strategies for co-registration of
functional and anatomical data
Proven programming experience, preferably with
C++ and Python.
Strong knowledge of medical image processing
and/or machine learning.
Knowledge in statistics would be an asset.
High level of motivation and positive thinking.
You must be a high caliber graduate, ideally with
some experience in a clinical environment.
You will need strong communication and people
skills with the confidence to present to groups of
healthcare and industrial professionals at all
levels.
What else do I need to know?
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What are my responsibilities?
Develop novel approaches for dimensionality
reduction and stratification of patients based on
machine learning
Validate and test the developed approach in the
clinical setting.
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This role will be a fixed term 3 year PhD
studentship based at Kings College London;
academic/tuition fees are included.
There will be an element of European (Siemens
HQ) and international travels.