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