Opportunity
The Ubiquitous Health Technology Lab invites applications for a funded Postdoctoral Fellowship position. We are looking for highly motivated, selfdriven, and engaged candidates with experience and interest in user-centred design, wearables, machine learning, predictive analytics, and data visualizations.
This project is a partnership between the University of Waterloo and Thinktum. The goal of this project is to use a data ecosystems developed at the UbiLab to monitor the impact of quarantine rules on household-level and individual-level physical activity, sleep quality, mental health, and work-related stressors and ergonomics.
This project, in partnership with Thinktum, has a long-term vision of developing a data ecosystem that is able to:
- collect information from wearables;
- apply human-centred design for discovering and defining new predictive analytics;
- conduct exploratory data analysis with datasets available from wearables;
- understanding the impact of COVID-19 in our population, monitoring the ongoing impact and the changes in our behaviours caused by public policies implemented;
- collaboratively develop, prototype, and test data visualization tools with representative users;
- explore the use of this data to better inform work from home guidelines.
The successful candidate will join a multidisciplinary research team led by Professor Plinio Morita from UbiLab that includes expertise in health data analytics, wearables, remote patient monitoring, population-level studies, computer science, human factors, and applied health sciences. In addition to the University of Waterloo.
Funding
This fellowship is supported by MITACS and Thinktum and the selected candidate will receive CAD $45,000.00/year plus benefits
Requirements - the ideal applicants for this position will have:
- a PhD degree in engineering, computer science, or related fields;
- experience with user-centred design and UX, complex data visualizations, and/or in machine learning with a keen interest in becoming proficient in all three;
- strong interest in health technology and health systems;
- working knowledge of data analytics, databases, and web storage;
- excellent writing and communication skills.
Position is now closed.
Application process
Interested applicants should email Professor Morita with a recent CV, a one-page research statement, a date of availability, and the names and contact information of three references.
The institutions
The Ubiquitous Health Technology Lab (UbiLab) vision is to leverage mHealth, wearables, and IoT sensors for population-level public health surveillance. At the UbiLab, a multidisciplinary team of researchers design, develop and evaluate health technology that leverages persuasive design to deliver maximum reliability, with minimal burden to the user, and outstanding user experience. The UbiLab brings experience and resources in data science, machine learning, and deep learning for the development of real-world learning algorithms.
Waterloo's School of Public Health Sciences (formerly School of Public Health and Health Systems) is training a new generation of leaders, researchers, and change agents, adept at thinking and responding to the complex adaptive systems that affect health and health care. Together, we are seeking innovative solutions to some of the major health challenges of our time: chronic disease prevention and management; health and ageing; health care system integration, management and informatics; food and water safety, security and governance; health inequity-including poverty and Aboriginal health issues; and health and the environment.