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embedded into cyber‑physical systems (CPS) such as autonomous vehicles, smart grids, industrial control systems, robotics, healthcare devices, and intelligent transport infrastructure. While significant
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Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living
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Computer science Physics » Computational physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 18 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract
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21 Sep 2026 Job Information Organisation/Company Max-Born-Institute Department T2 Research Field Physics » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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27 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning
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and internal erosion in dikes. As a PhD researcher at TU Delft, you will connect fundamental fluid–soil interaction physics with computational modelling to contribute to safer flood defences. Job
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work duties after employment. Required selection criteria You must have a relevant Master's degree in physics, mathematics, biomedical engineering, computer science or equivalent. Your course of study
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Develop advanced models to understand and predict piping and internal erosion in dikes. As a PhD researcher at TU Delft, you will connect fundamental fluid–soil interaction physics with
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safety, ecosystem degradation, and declining water quality. Given the growing challenges faced by these environments, there is an urgent need to improve our understanding of the physical, ecological, and