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Field
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interface with cyber and physical aspects of power systems such as the software-defined networking (SDN) in the microgrid control. Supervised by Prof. Xin Zhang (cyber-physical power systems) , the PhD
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innovative technologies related to power electronics, distributed energy resources (DERs), batteries (BESS), inverters, microgrids, grid resilience, and AI-enabled energy systems. CGI is located within NAIT’s
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Required Qualifications Solid background in Power Electronics Design and Control (e.g., research experience in microgrids, cascaded multilevel converters, or multiple inverter coordination is highly
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teaching in the field of flexibility, advanced power electronics, battery energy systems and microgrids. We are currently formed by 30 researchers from 15 different countries, which continuously provide us
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will enable the advanced monitoring and computing techniques of power systems, as well as to create a resilient control and operation for both energy network and distributed energy sources. This PhD
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, department needs, and availability of funds. Position Responsibilities Lead and contribute to externally funded research in power systems, microgrids, distributed energy resources (DERs), and control systems
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or microgrids. Expected outcomes include novel methods for device-level uncertainty analysis, system-level uncertainty knowledge representation, and enhanced robustness and reliability of IoE digital twins
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innovative technologies related to power electronics, distributed energy resources (DERs), batteries (BESS), inverters, microgrids, grid resilience, and AI-enabled energy systems. CGI is located within NAIT’s
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applications, including renewable energy systems (e.g., wind turbines), smart grids, and emerging electrified platforms such as electric ships or microgrids. Expected outcomes include novel methods for device
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Control (e.g., research experience in microgrids, cascaded multilevel converters, or multiple inverter coordination is highly preferred). Experience in power converter hardware prototyping and debugging