The Sleep and Brain Health Laboratory at Sunnybrook Health Sciences Centre (sleepandbrainhealth.ca) is seeking two casual research assistants in software development to assist in creating and maintaining code applying contemporary signal processing and machine learning approaches to analyze large-scale (thousands of recordings) human physiological time series data from wearable sensors to predict sleep and neurological outcomes, including sleep disorders such as sleep apnea and Alzheimer’s disease.

Responsibilities

Assist in creating and maintaining software that applies signal processing and machine learning to wearable-derived physiological signals (accelerometry, EEG, cardiopulmonary data) to predict sleep and neurological outcomes.

Qualifications

A university background in computer science

Solid programming skills

Experience applying signal processing / time series analysis / machine learning to human sleep data collected from wearable devices

Applications




Qualified applicants should submit an up-to-date resume. We thank you in advance for your interest. Only those candidates selected for an interview will be contacted. No direct emails or phone calls please.

Accessibility and Diversity
Sunnybrook Research Institute is committed to accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation during any stage of the recruitment process, please indicate this in your cover letter.

Sunnybrook Research Institute is strongly committed to inclusion and diversity and welcomes all applicants including: visible minorities, all religions and ethnicities, persons with disabilities, 2SLGBTQ+ persons, and all others who may contribute to the diversification of ideas.

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📌 Research Assistant (SRI) - Evaluative Clinical Sciences - Casual 2026-16598 (2026-16598)
🏢 Sunnybrook
📍 Ontario