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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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Distributed radar systems comprise a coherent network of spatially distributed sensors that can be independently transmitting, receiving, or both. By acting in unison, rather than in isolation
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on the assimilation of Distributed Acoustic Sensing (DAS) data, using fiber optic cables deployed for the internet to estimate the state or parameters of complex spatiotemporal dynamics in urban environments within
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Almost all radar systems currently transmit from the same location. A drastic departure from this sensing architecture is distributed radar – enacted by a coherent network of spatially distributed
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
resources. To fill this gap, this proposal aims to design novel distributed and lightweight LLMs for spectrum management in aerial 6G networks. Specifically, the project will design wireless-aware data
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at scale raises privacy and real hardware constraint concerns. This PhD will focus on those challenges by developing a distributed, privacy-preserving NILM framework, so we can move from small research
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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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of system and data confidentiality and complete any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply
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introduce predictable spatial structuring in bird impacts that scale up to shape ecosystem function. However, multiple climate factors are changing seabird distributions, and humans can further modify where