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Field
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for synthesis. A postdoctoral position is available for 3-years to work with Professor Florian Hollfelder at the Biochemistry Department of Cambridge University (https://hollfelder.bioc.cam.ac.uk/ ). The project
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-agent reinforcement learning (MARL) framework for cyber-physical networked fault-tolerant control of renewable energy-fed smart grids under adversarial conditions [6]-[9]. Multiple autonomous agents will
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built to identify and correct errors, apply bias adjustments, and assess data quality. State-of-the-art multisource blending methods will then be applied (e.g. kriging, probabilistic merging, machine
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-scooters. (2) Large Language Models (LLMs) for fault diagnostics. Utilise LLMs to analyse and diagnose working status of charging stations, with focus on battery’s state of heath, electric energy flows, and
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the PromPrint research team, which also includes PI Dr Field, postdoctoral researcher Dr Milan Terlunen, and Research Software Engineer Dr Nicolas Seymour-Smith. PhD Project The PhD project will focus
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-performance computing (HPC) facilities and finite element codes. Project findings could have a notable impact on the deployment of green hydrogen infrastructure, as needed to achieve net-zero carbon ambitions
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quantitative connections between the continuum parameters and the underlying microscopic mechanics. Numerical study. Implement the models in computational codes to design and optimize morphing strategies. During
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, which also includes PI Dr Field, postdoctoral researcher Dr Milan Terlunen, and Research Software Engineer Dr Nicolas Seymour-Smith. The PhD project will focus on the relationship between obscenity and
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single
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Aerial Vehicles (UAV), e.g. drones, are increasingly used for equipment anomaly and fault detection in offshore wind turbines. When the drones are employed to take images, the quality of the images can be