As power systems become more digitalised and rely increasingly on synchronised measurements, protecting monitoring data and communications is essential for reliable grid operation. The research will focus on threats such as time-synchronisation attacks and manipulation of monitoring data in wide-area monitoring systems, characterization of their impact on system operation, and their timely detection using machine learning algorithms. The postdoc will develop methods for detection and resilience, and collaborate with an international team to validate them in cyber-physical power-system scenarios.
KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science
Requirements
Preferred qualifications
Great emphasis will be placed on personal skills.
KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH's core values as a university and public authority.
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Tagged as: Engineering, Physics
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