What you will do
The omnipresence of sensors causes an explosive growth of data that offers the potential for a revolutionary transformation in the health care sector.
As biomedical monitoring devices are becoming more widespread, continuous measurements of critical biomarkers can be collected for the purpose of screening , medical diagnosis and prediction of disease progression .
The availability of this time series data makes it possible to develop new systems, such as wearables, that can extract insights from data and transform them into actionable knowledge.
Furthermore, hybrid AI will be considered to bridge the gap between purely data-driven machine learning models (such as artificial neural networks, or deep learning models) and physics-based mechanistic models that describe complex underlying disease processes.
Possible examples of illnesses that will be considered in the PhD project are either respiratory related (such as COPD, sleep apnea, asthma, ) and / or heart conditions (such as heart failure, atrial fibrillation, ).
The proposed PhD research is defined within the context of several national and international collaborations on the application of machine learning to biomedical data .
You are expected to actively work and significantly contribute to research projects in this area.
What we do for you
We offer the opportunity to do full-time research in an international (with over 17 nationalities at IDLab, part of imec and Ghent University) and friendly working environment, with a market appropriate salary at Ghent University.
While grounded in fundamental academic research, as a PhD candidate you will also participate in collaborative research with industrial and / or academic partners in Flanders and / or on a wider geographic scale (e.
g., EU H2020 projects), in the framework of new / ongoing projects. Furthermore, you will publish your research results at major international conferences and in journal papers, as part of meeting the requirements for your PhD.
The PhD position is available starting May 2022.
Who you are
You need to hold a relevant master’s degree e.g., Master of Science in Electrical Engineering or Electronics Highly creative and motivated PhD student with the following qualifications :