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Shivam Saxena

5 months ago

PhD and Postdoctoral Positions in Power Systems, Inverter-Based Frequency Regulation, and Smart Grids University of New Brunswick in Canada

Degree Level

PhD, Postdoc

Field of study

Machine Learning

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

Canada

University

University of New Brunswick

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Keywords

Machine Learning
Energy Management
Electrical Engineering
Blockchain Technology
Computational Simulation
Energy Trading
Distributed Energy
Smartgrid
Power systems

About this position

The Software Defined Energy Lab at the University of New Brunswick, led by Assistant Professor Shivam Saxena, is offering two fully funded positions for a PhD student and a Postdoctoral Researcher starting in Winter or Spring 2026. The lab focuses on designing software tools for decentralized energy systems, emphasizing trustless, flexible, and sustainable solutions. Research areas include inverter-based frequency regulation, consortium blockchains for energy governance, machine learning for energy resource estimation, distributed optimal control algorithms, and energy trading with a focus on Indigenous communities.

The specific project is industry-tied and investigates inverter-based frequency regulation. Applicants should have strong expertise in power system fundamentals (including EMT simulation, oscillations, and inverters), be proficient with power system tools such as ETAP, PSSE, and MATLAB/Simulink, and have prior experience in SIL/HIL (OPAL RT preferred). An excellent publication record is also required.

Successful candidates will join a dynamic research group working on cutting-edge topics such as vehicle-to-everything (V2X) and peer-to-peer energy trading. The positions are fully funded, though specific stipend and tuition details are not provided. The application window is open for Winter or Spring 2026.

To apply, candidates should prepare a 1-page cover letter addressing their alignment with the listed requirements and submit it along with their CV to [email protected]. For more information, visit the lab's academic page or the supervisor's LinkedIn profile.

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.

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