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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science This Ph.D. project will develop fundamental theory and methods in distributed systems
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contribute to the area of protection of distributed AI. RESIST is in collaboration with Linköping University, Örebro University and the research institute RISE and is a multidisciplinary research center that
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. Within the Division of Computer Networks and Systems (CNS), the Network and Systems unit conducts research on the security, performance, and management of distributed systems, spanning platforms from
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the possibility of extension for another year. The employment covers - on average - 20% of full-time work per month. The workload may vary over time and by agreement. The goal is to distribute the work so that it
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cyber resilient AI, promoting education, knowledge sharing, and policy development. This PhD position is associated with the research theme Resilient Distributed and Agentic AI. For systems with multiple
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application! Work assignments This position focuses on the development of theoretically grounded and practically scalable decentralized learning algorithms under realistic system constraints, including
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, in which you may work with one or several components, include user-friendly sensor systems for monitoring health data, reliable measurement of health data and data communication in distributed
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architectures with implementations of massively distributed embedded systems that interact with each other and their environment to enable secure, goal-driven, autonomous and evolvable solutions. Duties A
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prior experience in one or more of the following areas Särskilt meriterande krav Experience in using computer clusters and distributed systems. Experience in virtualized environments, e.g., Docker
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distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396). The employment is fulltime for three years. The deadline for applications is March 26, 2026 and the