3 Fully Funded PhD Positions in Dependable Automation, Artificial Intelligence, and Cyber-Physical Systems Dependability and Automation Research in Cyber-Physical Systems (DARES) Group in Finland

Three fully funded PhD positions are available in the Dependability and Automation Research in Cyber-Physical Systems (DARES) Group in Finland.

The positions focus on dependable automation, artificial intelligence, and cyber-physical systems, with research themes spanning federated learning, trustworthy and explainable AI, distributed intelligence, resilient control, optimization, cybersecurity, and secure automation.

Position 1 covers federated learning and trustworthy AI for privacy-preserving collaborative machine learning, condition monitoring, and industrial/energy systems.

Position 2 focuses on resilient control and optimization for adaptive and resilient operation of industrial processes, automation systems, and energy infrastructures.

Position 3 addresses cybersecurity and resilience of cyber-physical systems, including cyberattack detection and mitigation, resilient architectures, and dependable operation of safety-critical industrial control systems.

The post is shared by Arshad Rauf, a Postdoctoral Research Fellow at Nanjing University of Aeronautics and Astronautics. The application deadline is 31 July 2026.

Interested candidates should review the LinkedIn announcement and follow the application instructions provided in the linked post.