Volt-Age Research Fellows

This position will focus on designing and operating community energy systems that integrate renewable generation, storage, and efficiency across buildings and mobility. The research will advance multi-level energy management, infrastructure operation, and digital twin applications to support decarbonization, particularly by leveraging machine learning, reliability engineering, blockchain technology and IoTs in smart energy systems and networks. It will inform inclusive, localized energy solutions—particularly for rural and Indigenous communities—contributing to Canada’s net-zero commitments. The work will shape sustainable, resilient, and community-driven energy transitions with social, cultural, and environmental benefits across the country.  

The position will lead research at the intersection of Indigenous Science and Technology Studies and Just Transition. The position will explore how Indigenous communities engage with technologies for electrification and decarbonization to strengthen wellbeing, autonomy, and equity. Through collaborations across engineering and Indigenous communities, the role will define new pathways for inclusive, sustainable energy development. Its integration with Concordia’s Volt-Age initiative amplifies national research impact by connecting with Indigenous Clean Energy networks and advancing co-designed decarbonization strategies. 

This position will advance research on novel solar energy systems and their integration into buildings, encompassing modeling, testing, and full-scale implementation. The work will explore innovative solutions such as building-integrated photovoltaics, smart windows, and dynamic shading systems to enable net-zero and energy-positive buildings. Leveraging Concordia’s unique laboratory infrastructure, the research will drive innovation in modular, solar-integrated construction and foster collaboration with industry to accelerate decarbonization. The outcomes will strengthen Canada’s leadership in sustainable building technologies and contribute to the development of exportable, high-efficiency building systems. 

This position will focus on advancing computational design or characterization techniques of advanced materials to accelerate innovation in batteries, electrolysers, hydrogen fuel cells and metamaterials for energy storage and the energy transition. The research will use high-resolution microscopy, in-operando analysis, and AI-assisted design with advanced computing technologies to study materials at the atomic scale during operation, enabling faster and more efficient design of electrochemical systems. Using quantum chemistry, electromagnetics, electrochemistry, and multiscale modelling, the research will enable rapid innovation in materials that improve efficiency, durability, and cost-effectiveness. By integrating molecular and continuum simulations with experimental validation, it will advance the rational design of next-generation energy systems. By enhancing the performance, durability, and efficiency of next-generation materials for the energy transition, the work will strengthen Canada’s role in leadership in clean energy technologies, creating industrial and societal benefits. It will also contribute to resilient, low-carbon solutions benefiting remote and Indigenous communities while bolstering national industrial competitiveness.

This position will focus on the integration of AI and the use of advanced computing concepts, including quantum computing, in electrification, optimizing grid management, improving the efficiency of renewable energy sources, driving energy management for smart buildings and accelerating the discovery of new materials for energy technologies. The use of advanced computing technologies will be crucial in accelerating the energy transition towards cleaner, more efficient, and resilient systems. This position will strengthen Canada’s leadership in energy transition and keeping Canada a key player in applied artificial intelligence. 

This position will focus on advancing power electronics, infrastructure design and renewable energy integration for electrified transportation, with applications spanning vehicles such as e-bikes, ATVs, snowmobiles, and electric boats. The research will explore how electrified transportation and autonomous electric vehicles affect infrastructure planning, and how it can enhance resilience and sustainability in Indigenous and remote communities through renewable-powered charging, vehicle-to-grid technologies, transportation autonomy and cold-climate design. Collaborations across engineering, economics, and EDI research will assess technical, financial, and social impacts of decarbonized transport systems. The work will drive innovation in clean mobility, strengthen Indigenous self-determination, and contribute to equitable, low-emission transportation solutions across Canada. 

This position will focus on the use of artificial intelligence (AI) and machine learning to enable energy systems, electric transportation, and advanced mobility to operate and optimize automated city services with high efficiency, reliability, and minimal human intervention. These intelligent electrified systems are becoming crucial for managing the growing complexity of energy infrastructure from smart grids to autonomous electric vehicles, optimizing energy distribution, charging points and usage autonomously.