This project will explore methods for sensor and information fusion that allow to setup and tailor specialized medical systems dedicated to specific medical needs. For any kind of sensor network, sensor fusion plays an important role. Sensor fusion can be applied to enhance the quality of a signal, to separate different signal sources from one another, or to reveal new diagnostic information.
The candidate will work on unobtrusive techniques to acquire hemodynamic information from a patient. This will include the design, building and testing of sensor devices as well as modelling and simulation of physiologic mechanisms in relation to hemodynamic signal modulation.
You have a master’s degree (equivalent to a Danish master's degree) in Electrical Engineering, Information Technology, computer engineering or similar, where:
You have formal qualifications in the development and implementation of
- Electronic circuits
- Embedded systems
- Signal processing
combined with an interest to apply this to bodily interaction and clinical settings.
Furthermore, the candidate must have the following qualifications:
- Interest in close trans-disciplinary collaboration with PhD fellows and senior researchers that investigate Life Science in order to merge these perspectives into your own work.
- Interest in participating in developing and testing concepts and equipment in clinical studies.
Knowledge, experience and skills in the following – or related – topics will be considered benefits:
- Modelling and Simulation
- Control theory
- Matlab, Python, numPy
- Mobile app programming
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Employment as a PhD fellow is a 3-year salaried position (start salary amounts to approx. 3.378,- EURO per month incl. supplements).