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Application deadline: All year round Research theme: Systems and Control How to apply: uom.link/pgr-apply-2425 This 3.5 year PhD project is funded by The School of Engineering and is available
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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for a full-time, time-limited, 12-month, non-tenure track Research Assistant/Associate/Full Scientist, in the area of nonlinear and adaptive control. Initial appointment is for one year, with
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complex metal structures. This opportunity is centred around improving manufacturing productivity with advanced laser-matter interactions control and optimisation. The PhD will advance our comprehension
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Description Reliable monitoring and control of water systems is essential to protect water resources, ensure hygienic standards, and enable sustainable infrastructure operation. As challenges evolve
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preventing infectious diseases in humans and animals, as well as supporting global detection and control with a special emphasis on antimicrobial resistance. The primary task is to conduct targeted research
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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, voltage and reactive power control, grid stability enhancement, black start capability, and renewable energy firming. There is also a growing need for HVDC converters to provide grid-forming services
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Position Summary: Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Control and Power Research Group, Department of Electrical and Electronic Engineering
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environments and job scheduling systems. Knowledge of Git/GitHub, version control, and reproducible research practices. Excellent organizational and communication skills; ability to work independently and in