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The Department of Computer Science at Aalborg University has a fully-funded PhD position available. The candidate will be working on formal verification of neural-network control policies
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OT control structures to enable quick and seamless adaptation and recovery. This topic will pursue a vendor-independent IT, OT and control framework for resilient manufacturing system, allowing
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architecture. Your work tasks Join our interdisciplinary team and work with leading scientists in the fields of power electronics, control systems, power systems, communication technology, and innovation
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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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well as developing solution algorithms applying mathematical and computational approaches. The group has a particular focus on automated decision making in autonomous cyber-physical systems. Autonomous systems and
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, and material separation. Accordingly, the candidate is required to have an Engineering degree on master’s level within manufacturing engineering, automation, or computer science. Specifically, we look
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on functionality rather than reachable contacts, it may also bring new challenges for controlling where to communicate with whom and manage different privacy preferences for different social circles. Moreover
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expertise in sustainability transitions and innovation policy while applying advanced computational methods to real-world challenges. We expect strong analytical skills, experience with version control and