Publisher
source

Karim Zaghib

3 weeks ago

PhD in Explainable AI for Resilient Energy Optimization and Storage at Concordia University Concordia University in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
Country flag

Country

Canada

University

Concordia University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Electrical Engineering
Chemical Engineering
Materials Science
Energy Storage
Predictive Analytics
Explainable Ai
Renewable Energy Systems

Suggested positions

About this position

PhD opportunity at Concordia University in Explainable AI for Resilient Energy Optimization and Storage (EXAIREOS), part of the Volt-Age Living Lab.

The project is supervised by Prof. Karim Zaghib in the Department of Chemical and Materials Engineering at Concordia University, Montreal, Canada. It focuses on battery energy storage, renewable energy integration, solar energy systems, energy management, and explainable artificial intelligence (XAI) for building energy optimization and decarbonization.

Research topics include battery modeling and optimization, battery degradation and lifecycle analysis, state estimation (SOC/SOH), photovoltaic-battery co-optimization, renewable forecasting, intelligent energy management, and AI-powered simulation and decision-support tools. The successful candidate will work with real building energy data, weather data, electricity tariffs, and renewable generation profiles, and will collaborate with multidisciplinary researchers and industry partner Énergère.

Funding: fully funded PhD with tuition coverage and a competitive stipend of CAD 35,000 per year for 4 years.

Eligibility: applicants should have a master's degree in a relevant engineering or closely related field, with strong preparation in battery systems, renewable energy, modeling/simulation, optimization, Python or MATLAB/Simulink, and preferably machine learning or XAI.

Start date: Fall 2026. Applications: rolling review.

How to apply: send a single PDF with letter of intent, CV, unofficial transcripts, referee names/emails, publications, and supporting documents to volt-age.recruitment@concordia.ca. Use the subject line EMS_Your name.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

Official Email

contact@example.com

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors