The Sensors and Integrated Microsystems Laboratory (SIMSLab) in the Mechanical and Mechatronics Engineering Department at the University of Waterloo has formed a partnership with Facedrive Inc. to develop and deploy contact tracing and health monitoring wearables. The team has deployed the contact tracing system in multiple locations and has been continuously optimizing and updating both the device’s hardware and firmware to improve the overall performance and accuracy. The health monitoring system has been designed to record heart rate, oxygen saturation, skin temperature and detect motion to classify the health status of an individual. Being proactive with regards to mental health and general health is the main goal of the health monitoring system.
Both the contact tracing and health monitoring systems will utilize machine learning methods. In terms of contact tracing an artificial neural network (ANN) will be developed to classify whether an interaction between two individuals is considered low or high risk. For health monitoring a Long short-term memory (LSTM) architecture will be utilized to capture sequential information within the data and classify whether an individual is healthy, somewhat healthy or required further diagnostics from a professional practitioner.
We are excited to invite a new team member to focus on both the hardware and firmware to advance barrier detection and support in developing and training the planned neural networks. The starting date for this position is July/August 2021.
Key Responsibilities and Accountabilities
- Research, design, prototype, implement, test and document an embedded system (Hardware and Firmware), with focus on contact tracing and health monitoring.
- Support with the development of the ANN and/or LSTM algorithms as needed.
- Signal processing implementation on Bluetooth wearable devices for health monitoring.
- Develop and execute test cases for system design verification and performance evaluation.
- Determine potential signal manipulation methods or additional hardware to enhance barrier detection.
Skills and Qualifications
- Excellent interpersonal and communication (written and verbal) skills.
- Creative thinker, excellent analytical skills, collaborative, highly motivated, Passionate about work.
- Ability to work independently and in a team environment.
- Good knowledge in circuit design, embedded systems, and signal analysis.
Educational/Experience Requirements
- Bachelor in Electrical, computer or software engineering or similar field.
How to Apply
- Interested candidates please send you resume and/or questions to pnieva@uwaterloo.ca
- For further questions please do not hesitate to reach out via email
Thank you for your application,
The SIMSLab Team