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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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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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-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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hybrid dynamical systems and control, optimization, and its application to cyber security. Familiarity with Lyapunov based analysis and control design tools is a must. This PhD position is part of a
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an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and
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safer place Job description In our connected world, cybersecurity is crucial. The Cybersecurity (CYS) group takes a data-driven approach to protecting and improving the security and privacy of our
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-SE supports and develops the following engineering competences; E2E generic engineering tools, processes and competences; All aspects of security engineering at system level, including cyber security
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place; contributing to the authoring of the Information Security Management Plan; providing support to (cyber) security activities on the infrastructure under your responsibility, as needed; monitoring