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Research Assistant in Battery Systems and AI (CARE union position) Last updated : April 8, , 2 : 57 p.m. Job title
Research Assistant (Non-Student Research Personnel under the CARE union)
Posting period
April 8, , to April 23, .
Supervisor and department
Dr. K. Khorasani, Department of Electrical and Computer Engineering
Position scope
Power distribution, battery management, and AI / ML-based optimization represent some of the most technically demanding and consequential open research challenges for autonomous vehicles operating under harsh environments. The incumbent Research Assistant will make concrete, measurable contributions to solving these challenges as they apply directly to the various missions. This work is aiming to advance energy science knowledge, training highly qualified personnel, and developing new technologies in priority and strategic areas of interest to various Government of Canada agencies.
Primary responsibilities
Develop novel and innovative : battery management systems
State-of-Charge (SoC) and State-of-Health (SoH) estimation methodologies and solutions
thermal management and safety in harsh environments methodologies and solutions
radiation-induced degradation and lifetime prediction methodologies and solutions
power budget uncertainty and modelling accuracy methodologies and solutions
AI and machine cearning (AI / ML) methodologies and solutions
anomaly detection and predictive maintenance methodologies and solutions Requirements Strong knowledge on AI and machine learning
Expert on Lithium-ion and lithium-polymer batteries
Knowledge on Data-driven approaches using Long Short-Term Memory (LSTM) networks
Excellent spoken and written English language skills
Strong interpersonal and communications skills
Detail-oriented, with strong organizational and problem-solving skills
Bachelor’s degree or equivalent Planned start and end dates of Appointment
April 27, – October 27, Part-time, 30 hours per week.
Salary
28 per hour
