We are seeking excellent and self-motivated students who are familiar with one or more of the following: RF Circuits, Radar, RFID, Wi-Fi, Sensors, Microwaves, Antennas, Programming, Embedded Systems, Machine Learning. Software: Keysight ADS, AWR Microwave Office, other.
The goal of this research is to develop an unobtrusive system that will capture the vital physiological signals of users (breathing, heart rate, body position), remotely. The system will employ low-power radar, RFID, and possibly Wi-Fi signal technologies, and combine the detected signals with algorithms trained by machine learning.
It is expected that this PhD research project will ultimately lead to novel RF circuit architectures that take advantage of modern System-on-a-Package and System-on-a-Chip technology developments.
Unlike traditional patient monitoring systems that require users to ‘wear’ devices and sensors, the proposed system will not rely on or require wearable electronic or on-body sensors. This will maximize mobility and makes the system completely transparent to the user. The system will be used for assisted living and health care applications. It will help impaired citizens (e.g. dementia sufferers who repeatedly forget or decline to ‘wear’ sensors, premature babies who are sensitive to the touch, etc) and their carers. It may also be a key enabler in lowering healthcare costs.
Part of this research may be conducted with the University of Edinburgh, UK and the University of Crete, Greece, in support of a recent Marie Skłodowska-Curie Fellowship award.
Applicants are encouraged to send a CV and examples of their work to: [email protected] for informal feedback.