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assist with the evolution and deployment of the Digital Research cyber security maturity uplift. What you’ll do: Assist with the identification, initial analysis, and documentation of cyber security events
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experience with statistical modelling, regression analysis, or predictive analytics; Strong programming skills and practical experience with data-driven research; Affinity with or experience in cyber security
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mitigation, IIoT Security, Malware analysis, etc. More information about the group can be found here . He aha ngā take me tono mai ai koe? - Why should you apply for this position? We want you to be part of
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resilient control Designing controllers that maintain performance under faults and cyber-physical attacks. Probabilistic guarantees and uncertainty quantification Establishing guarantees on stability, safety
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heterogeneous cyber data. While traditional techniques such as Principal Component Analysis (PCA), clustering, and autoencoders help reduce dimensionality and improve detection performance, they remain
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. of Matematica e Informatica duration: 12 months Where to apply Website http://www.unife.it/concorsi Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy
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-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems
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applicants will take place from March to April 2026. Awards for intake 2026 will be finalised by July 2026. Supported Areas for START Infocomm Technology Information Security: Mobile security, cyber-physical
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enhancements, including advanced navigation algorithms, swarm intelligence, cyber security hardening, and payload-specific control systems. Key Responsibilities: Control Augmentation Development: Design
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27.03.2026, Academic staff The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of safe data-driven