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Field
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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Award Summary 100% home fees covered, and a minimum tax-free annual living allowance of £21,805 (2026-27 UKRI rates) Overview Artificial intelligence now supports high-stakes decisions in
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performance (10–50 Hz) on hardware with constrained memory, power and compute. The project will investigate training, adapting and deploying compact Physical AI models efficiently. Work may cover vision
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Supervisors: Dr Ioanna Dimitriou , Dr Oliver Fisher Programme Length: Four years Contract Type: Full-time Prospective Start Date: October 2026 The positions are filled in a first-in, first-served
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withstand ultra-high temperature (UHT) conditions while maintaining structural integrity and functional performance. The PhD Project This exciting research project is actively seeking ultra-high
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integrity and functional performance. The PhD Project This exciting research project is actively seeking ultra-high temperature (UHT) ceramic materials capable of surviving short-duration exposure
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candidate per year, including performance-based bonuses tied mainly to the supervised candidate’s timely achievement of annual research, publication, and programme milestones. Core programme features Team
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of Warwick, and Prof Emma Kendrick at the University of Birmingham. The project will be affiliated with the Faraday Institution FAST project and will combine advanced computational modelling with experimental
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functions and linear multiply–accumulate operations directly in hardware. 3. To quantitatively characterise magnonic device performance within neuromorphic computing architectures, evaluating metrics such as
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are conventionally operated as baseload assets, yet coupling HTGRs with large-scale thermal energy storage (TES) could fundamentally alter this paradigm. By storing surplus reactor heat during periods of low demand