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. This PhD will design methods that enable robots to achieve more robust, accurate perception and perception-driven planning for complex processes. You will investigate solutions like multi-sensing fusion (e.g
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real-time rerouting recommendations. Beyond the PhD, the project’s data-driven models will evolve through continuous real-world updates, contributing to sustainable aviation practices and climate-aware
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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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loading conditions. By generating datasets from finite element simulations, ML models can learn the mapping between unit cell design parameters and homogenised properties. State-of-the-art approaches
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-informed machine learning (PIML) with domain-specific engineering knowledge. By embedding physical laws and corrosion mechanisms into data-driven models, the research will produce more accurate
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. This PhD proposal aims to develop an integrated modelling-prediction-control framework that uses extreme-weather-aware AI to coordinate frequency stability, voltage control, optimal power distribution, and
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between wind farms and MS motivating our central research questions: “do turbine driven changes in the MBL promote or hinder MS formation?” and “how does this modified rate of MS formation affect the
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second-class undergraduate honours degree in Engineering, Physics or Materials Science Excellent English written and spoken communication skills Being passionate about science, curious, and self-driven
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. Development of novel processing techniques Modelling techniques that can inform the direction of experimental activity Physical, mechanical and materials characterisation techniques Data-driven approaches
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27 Oct 2025 Job Information Organisation/Company King's College London Department of Engineering Research Field Engineering » Mechanical engineering Engineering » Thermal engineering Researcher