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Field
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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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in ultra-large scale distributed and networked systems. We target both conceptual research as well as applied tools/techniques for the provisioning and assessment of run-time security assurance. As a
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transmitted by 50%, which will contribute to the creation of Microsoft Azure’s next generation ultrafast datacentres and optical networks. The project aims to address research as well as practical aspects
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PhD Positions Country Germany Application Deadline 6 Dec 2025 - 00:00 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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the cloud-edge continuum for next-generation networks based on reinforcement learning. Evaluation of progress made in the project and design of a system for predictive behavior analysis, risk detection, and
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fault-tolerance. Due to the critical nature of many distributed systems, their correctness is of crucial importance. The verification of distributed systems, however, is notoriously difficult. This PhD
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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distributed systems and AI-enhanced automation for critical infrastructure monitoring and control. Your primary focus will be on designing and validating IoT sensor networks with long-range wireless