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systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess their impact on system reliability and trustworthiness, and develop cross-layer defenses
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This postdoctoral position focuses on securing large-scale distributed AI systems against network-based threats. The research will explore network attack surfaces in distributed AI, assess
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an integrated development of network architectures, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems
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, Industrial Computing, Communication, and Control Laboratory), an advanced test environment for future industrial systems and cyber-physical environments. The goal is to develop robust, distributed, and
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experimentally verified results is a necessary: - Autonomy with collaborative intelligence - Distributed task and motion planning - Predictive collaboration with heterogeneous teaming - Multi-agent navigation in
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The applicant is required to have a PhD degree in Software Engineering with a focus on Model-Driven Engineering and AI. The applicant must have completed the degree no more than three years before the end