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difficulties), and neuropsychological sequalae such as cognitive difficulties (memory and new learning, executive function, attention, processing speed, cognitive fatigue etc.), and difficulties with regulating
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the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators
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'. Please quote the advertised reference number, 'SSEHS/SMN25', in your application. To avoid delays in processing your application, please ensure that you submit the minimum supporting documents .
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intake on the supersonic combustion processes and efficiency. Explore strategies to design the supersonic intake structure to be “self-healing” rather than “self-destructive” Eligibility Students recruited
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participate in a chalk talk to present their research plans. This process is designed to ensure a transparent, inclusive, and fair selection. We are seeking two early-career investigators with an outstanding
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four-year full-time PhD structure (three years research + one year writing-up and examination) Start date: September 2025, January 2026. Application process: Rolling admissions—apply early to secure your
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requirements: First-class or upper second-class degree (or equivalent) in Chemical/Process/Electrochemical/Mechanical/Electrical Engineering, Chemistry, or Physics, or relevant industrial experience
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integrity and durability of affected components and structures. The main challenge is assessing the transition between a relatively slow process of degradation and a rapid deterioration of structural
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constraints. The student will then develop concepts of operation for the deployment of aerial assets in support of first responders, including performance benchmarks for range, endurance, payload capacity, and
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for vulnerable populations through evidence-based approaches. For further information about the application process, please contact the Admissions Team For further information about the project, please contact