Opportunity Description
Location: Brampton, Ontario
Duration: 4–12 months
Level: Undergraduate / Master’s (Co-op)
Term: Fall 2025 Intake (Sept–Dec or extendable to Jan)
About the Role
Apply AI to biosensor signal analysis and model development. Help us discover patterns in biological and environmental sensor data using machine learning and data science tools.
Key Responsibilities
- Clean and prepare time-series sensor data
- Develop ML models for detection/prediction
- Visualize data insights using dashboards
- Collaborate with engineers on AI integration
- Report trends, anomalies, and findings
Core Skills
- Python (Pandas, NumPy, Scikit-learn, TensorFlow)
- Data visualization (Matplotlib, Seaborn, Power BI)
- ML concepts (classification, regression, clustering)
- Signal processing (Fourier, smoothing, filters) – bonus
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