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, and manufacturing. By providing empirical evidence rather than purely theoretical assurances, the project will support regulators, system designers, and security engineers in making informed deployment
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guardrails inspect everything in plaintext and offer weak formal assurance. This PhD asks how to build AI services that remain useful while enforcing such constraints and protecting sensitive information. Open
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7 Sep 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Information Security and Communication Technology Research Field
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. As a PhD candidate, you will contribute to this ambition by helping establish the evidence base for digital proxies, developing and applying data-driven measures, and investigating their relationships
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quantum channel, post-quantum mathematics, and traditional classical security, into a single, unified encryption key. Crucially, the system is expected to work with the infrastructure organisations already
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Engineering. DCSC is an internationally leading research centre where PhD candidates, postdocs and faculty members work on modeling, analysis, control and optimization of complex dynamical systems relevant
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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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produce data that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models
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learning (FL), where multiple UAVs collaboratively train artificial intelligence models without sharing raw mission data. This supports privacy and efficiency, but it also creates a serious security risk: a