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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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systems projects. We are developing the Apollo application development and computing environment. We have coordinated several EU projects on distributed and parallel systems including the edutain@grid
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space explosion involved in complex systems. The aim of this PhD project is to develop distributed supervisory controller synthesis techniques that are scalable to practical systems. Current decomposition
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application of the approach is limited by the fact that tools for synthesis cannot always deal with the state space explosion involved in complex systems. The aim of this PhD project is to develop distributed
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as well as the entire PhD course and research program are held in English only. There is no need to learn German for these positions.Preferred SkillsBasic Computer Science• Distributed systems (Cloud
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to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required
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Engineering, a 4-years PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic of formal verification of distributed systems
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on logic to precisely describe the system in question and check desired properties, with both academia and industry recognising its importance. Distribution is an integral part of innumerous computer systems
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and Engineering, a 4-years PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic of formal verification of distributed systems
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 13 days ago
. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09447 Requirements Skills/Qualifications Expected skills include Knowledge on distributed, parallel computing and numerical