Embark on a research journey with Natural Resources Canada as a Research Affiliate focused on battery degradation within materials acceleration. This position, located in Mississauga, offers hands-on experience for a full time student. The selected candidate will operate experimental battery cycling systems and develop advanced AI/RL models for predicting battery performance.

This role is designed for students at Waterloo University specializing in Chemistry and encompasses responsibilities that include data modeling and results reporting. Key Responsibilities:

- Operate experimental battery cycling system
- Develop AI/RL models for battery state predictions
- Model EIS data utilizing machine learning tools
- Report findings verbally and in writing
- Write scientific manuscripts on results Requirements:
- Full-time student enrolled at Waterloo University
- Proven experience with machine learning in electrochemical systems
- Familiarity with programming in Python, R, or Julia
- Capable of planning and analyzing experiments
- Ability to meet reliability status security clearance Enhance your scientific knowledge and contribute to groundbreaking work in battery technology with Natural Resources Canada.

📌 Research Affiliate in Battery Degradation (Mississauga)
🏢 Employment and Social Development Canada
📍 Mississauga