PhD Position in Cyberattack Detection for Power Systems

This fully funded PhD position at Tallinn University of Technology (TalTech) focuses on advancing cybersecurity in power systems through data-driven and simulation-based frameworks. The project, SIPSIK, unites TalTech, the University of Tartu, Tallinn University of Applied Sciences, and industry partners to create robust solutions for detecting cyber threats in critical energy infrastructure. The successful candidate will conduct research on machine learning and data mining techniques to design computationally efficient and interpretable detection methods, leveraging real-world and simulated power system data. The work will be validated through real-time digital and network simulations, aiming to support practical protection, training, and decision-making in energy sectors.

• Develop interpretable and computationally efficient cyberattack detection methods for power systems using data mining and machine learning.
• Analyze and exploit security-relevant power system data to create transparent decision rules for detection methods.
• Validate research findings using real-world and simulated power system data in controlled environments like real-time digital and network simulations.
• Collaborate with researchers from TalTech, the University of Tartu, Tallinn University of Applied Sciences, and 11 industry partners.
• Publish research outcomes in peer-reviewed journals and present findings at academic conferences.
• Contribute to the broader SIPSIK project goals of enhancing cybersecurity in critical energy infrastructure.