Explore an innovative research opportunity with Natural Resources Canada as a Battery Degradation Research Associate, located in Mississauga. This position is tailored for full-time students engaged in Chemistry-related programs.

In this role, you'll operate cutting-edge battery cycling technologies and develop models to predict battery performance, contributing significantly to materials acceleration projects. With an emphasis on machine learning, you'll analyze and report your findings to support ongoing research endeavors.

Key Responsibilities:
• Operate and analyze battery cycling experiments
• Develop predictive AI models for battery use
• Model EIS data with advanced machine learning
• Communicate research results clearly




• Authorship of manuscripts for scientific journals

Requirements:
• Full time Waterloo University student in Chemistry
• Experience applying machine learning in battery systems
• Knowledge of programming languages like Python, R, or Julia
• Capability to conduct and analyze scientific experiments
• Requirements for reliability status security clearance

Contribute to pioneering research and enhance your academic career at Natural Resources Canada.
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📌 Battery Degradation Research Associate (Ontario)
🏢 Employment and Social Development Canada
📍 Ontario