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look forward to receiving your application! We are looking for up to two PhD students in trustworthy machine learning, with a particular focus on cybersecurity, privacy, and verifiability for AI systems
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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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, resource efficient algorithms, and programming paradigms for enabling an application-tailored design of dependable communication and computation systems. Project description This PhD project is linked
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strong network of national and international collaborations spans both academia and industry. The working language is English. You will be part of a strong research team in optical communications
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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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processing algorithms. Job description The PhD research will focus on developing algorithms for radar networks aiming at robust radar networks. To achieve the robustness, radar systems in a network have
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that are both fundamental and directly relevant to the design of future networks. Within SMART-6GSAT, two PhD positions are available. The first will focus on distributed MIMO in space, exploring novel concepts
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the Wallenberg Initiative on Networks and Quantum Information. Quantum sensing is a rapidly developing quantum technology that promises unprecedented precision in measuring small parameters and detecting weak
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-native networks or financial services, AI/ML that is not secure, robust, verifiable, or privacy-preserving can lead to safety risks, regulatory violations, and significant reputational damage. By making AI
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. Our research integrates expertise from machine learning, optimization, control theory, and network science, spanning diverse application domains such as energy systems, biomedical systems, material