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PhD & Postdoc Positions in Power Systems Security and Intelligence at Toronto Metropolitan University

Toronto Metropolitan University Electrical, Computer, and Biomedical Engineering Department
✓ Fully Funded 🎓 Biomedical Engineering 🎓 Computer Engineering 🎓 Electrical Engineering cybersecurity smart grids grid stability power systems distributed energy resources substation automation iec 61850 quantum-resilient security

Explore the challenges of securing and modernizing power systems as you research grid stability, smart grids, and cybersecurity. Join a vibrant, multidisciplinary team at Toronto Metropolitan University driving innovation in energy networks.

AI-generated overview

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Why This Research Matters

This research is vital for securing and stabilizing modern energy infrastructures globally as renewable energy sources and digital controls become ubiquitous. Enhancing cybersecurity and resilience in power systems mitigates risks of outages and cyber-attacks, supporting sustainable and reliable energy delivery essential for economic and social development.

MATLAB Simulation Electrical Power Engineering Power Systems Simulation Renewable Energy Technologies Power Systems Modelling Power System Stability Distributed Generation Wind Power and Power Systems

Project Description

Project Overview

This research focuses on enhancing the security, stability, and intelligence of modern power systems amid the global transition toward renewable energy, distributed resources, and digital infrastructure. Critical research areas include grid control, protection, stability, inverter-based distributed energy resources (DERs), cyber-physical security of smart grids, substation automation, IEC 61850 standards, communication networks for power systems, and quantum-resilient cybersecurity.

What You Will Do

Successful candidates will engage in interdisciplinary research projects within the Electrical, Computer, and Biomedical Engineering Department. They will work under the guidance of leading faculty members, employing advanced modeling, analysis, and simulation techniques to address challenges in power systems and cybersecurity. Collaborative work with industry and international partners is encouraged to ensure practical relevance and impact.

Expected Outcomes

The research aims to develop robust, resilient, and secure energy networks capable of withstanding increasing cyber-attacks and infrastructure challenges. Outcomes include novel control strategies, enhanced stability and protection mechanisms, cyber-physical security frameworks, and standards-compliant automation solutions to support next-generation smart grids.

Why This Matters

This work supports the modernization of global energy systems, ensuring reliable and sustainable power delivery. It addresses critical vulnerabilities brought by increased digitalization and integration of renewable resources, influencing energy policy and technology development both in Canada and worldwide.

Entry Requirements

Strong background in power system modeling, analysis, and simulation. Expertise or interest in grid control, protection, stability, inverter-based DERs, cyber-physical security, substation automation, IEC 61850 standards, communication networks for power systems, or quantum-resilient cybersecurity. Motivation for research and ability to work collaboratively in multidisciplinary teams.

How to Apply

Complete the application form linked in the official advertisement at https://lnkd.in/eVjtn5w6. Only shortlisted candidates will be contacted. For more details, visit the official LinkedIn post: https://www.linkedin.com/posts/reza-arani-24189a4a_phd-postdoc-hiring-share-7451967874493157376-QYrg

Eligibility

UK/Home
EU
International

Supervisor Profile

DR
Dr. Reza Arani
Toronto Metropolitan University, Electrical, Computer, and Biomedical Engineering Department
1508 Citations
Google Scholar

Dr. Reza Arani leads research in power systems focusing on security, stability, and the integration of renewable energy resources. His work blends control theory, cybersecurity, and energy infrastructure, positioning him as a leading expert in smart grid technologies and cyber-physical security. At Toronto Metropolitan University, he fosters collaborations bridging academia and industry to address energy challenges.

Key Publications

2025 25 citations
Investigating Disturbance‐Induced Misoperation of Grid‐Following Inverter‐Based Resources
This paper sheds light on the potential misoperation or inadvertent disconnection of grid-following inverter-based resources during disturbances.
2020 11 citations
Investigation of Impacts of Wind Source Dynamics and Stability Options in DC Power Systems With Wind Energy Conversion Systems
The study investigated mechanical dynamics in PMSG-based wind energy systems in dc grids, highlighting the effects on system stability.
2025
Pole Slipping in Droop-Based Grid-Forming Inverters
This work provides insight into the dynamic behaviour of grid-forming inverters during disturbances, focusing on pole slipping phenomena.
2020
A User-centric Approach toward Resilient Frequency-regulating Wind Generators
The article addresses frequency regulation challenges in wind generators within smart microgrids and proposes resilient solutions.
2021
False Data Injection Attacks Against Synchronization Systems in Microgrids
Demonstrates vulnerabilities of synchronization systems in microgrids to false data injection cyberattacks, highlighting potential operational risks.

Research Contributions

Investigated disturbance-induced misoperation in grid-following inverter-based resources.
Improved understanding assists in enhancing stability and reliability of inverter-based power systems.
Analyzed the impacts of wind source dynamics in DC power systems leveraging PMSG-based wind energy conversion.
Supports better design and stability assessment for wind-integrated DC grids.
Explored false data injection cyberattacks on synchronization systems in microgrids.
Raises awareness and direction for securing microgrid synchronization against cyber threats.
Developed approaches for resilient frequency regulation using wind generators in smart microgrids.
Contributes to more reliable and robust renewable integration into power grids.

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