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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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technologies (LCTs, such as solar PV, electric vehicles, heat pumps or energy storage) to distribution networks. New active technologies that provide flexibility, such as network operator-owned power electronic
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. Changes in water table pre- and post-restoration will be monitored using the existing network of piezometers distributed across the floodplain and additional piezometers installed. Additional measurements
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as early indicators of anthropogenic and climate-driven change. However, limited understanding of the processes shaping species’ biogeographic distributions constrains our ability to predict ecological
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
distributed infrastructure Applications of agentic AI What You Will Get An inclusive and open-minded research environment that bridges theoretical thinking and system building, with opportunities to publish and
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framework to accommodate new components like EV chargers and distributed generation, and you will apply these insights to both large-signal and small-signal stability analyses. Working closely with academic
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like EV chargers and distributed generation, and you will apply these insights to both large-signal and small-signal stability analyses. Working closely with academic and industrial partners, you will
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, particularly in computer networks, operating systems, computer architecture and distributed systems Excellent programming, system building and measurement skills are required Be familiar with, and ideally worked
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Boltzmann method simplifies the numerical treatment of fluid flows by evolving particle distribution functions across straight lines on a computational grid, rather than evolving the trajectories of the flow
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distribution and with synthesised future sea-ice distributions; examine the impacts on barrier wind structure and associated surface turbulent fluxes. Examine the frequency, characteristics and ocean mixed-layer