Concordia University
2 months ago
Fully Funded PhD in Energy Storage Modelling and Intelligent Energy Management at Concordia University Concordia University in Canada
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD position with a scholarship of 35K CAD per year for 4 years.
Deadline
Dec 28, 2026
Country
Canada
University
Concordia University

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About this position
Concordia University in Montreal, Canada is advertising a fully funded PhD position in Energy Storage Modelling and Intelligent Energy Management within the Volt-Age research environment. The project is supervised by Professor Karim Zaghib and is aimed at developing physics-based and data-driven models for battery charging, discharging, degradation, and lifecycle performance.
The research focus includes battery management strategies, predictive modelling for battery degradation, state estimation (SOC/SOH), lifecycle analysis under varying operating conditions, and the co-optimization of photovoltaic (PV) generation with battery energy storage systems. This opportunity is especially relevant for candidates interested in Electrical Engineering, Materials Science, Physics, Computer Science, and broader Energy/Sustainability research.
The post states that the position is for Fall 2026 and includes a scholarship of 35K CAD per year for 4 years. This indicates a strong funding package for a doctoral student. The announcement is shared by Alisa Makusheva, who appears to be academic staff involved in recruiting MSc and PhD students for funded Volt-Age research projects at Concordia University.
Applicants should review the full role description and application instructions using the provided link. If you are interested in battery modelling, intelligent energy management, renewable integration, or sustainable energy systems, this is a relevant funded PhD opening to consider.
Funding details
Fully funded PhD position with a scholarship of 35K CAD per year for 4 years.
What's required
Applicants should be interested in a fully funded PhD starting Fall 2026 in energy storage modelling and intelligent energy management. The post emphasizes physics-based and data-driven modelling, battery charging/discharging, degradation, state estimation (SOC/SOH), lifecycle analysis, and co-optimization of photovoltaic generation with battery energy storage systems. Relevant background in energy systems, batteries, modelling, data analysis, or related engineering/science fields is implied.
How to apply
Review the full role description and application instructions via the provided link. Follow the application process described there and contact the poster directly with questions. Apply for the Fall 2026 PhD opening as instructed in the posting.
More information can be found here
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