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during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them. The selected candidate would disseminate their research by publishing in top-tiered
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of distributed optical sensing techniques developed in ECSTATIC, such as novel distributed acoustic sensing (DAS), on trackside telecom fibres, for the condition monitoring of railway infrastructure, focusing
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research in the field of AI for healthcare autonomous systems. Activities on non-healthcare systems could occasionally be requested. • Undertake research from algorithm development to real time
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for the application and validation of distributed optical sensing techniques developed in ECSTATIC, such as novel distributed acoustic sensing (DAS), on trackside telecom fibres, for the condition monitoring of railway
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work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through
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. Awards will be finalised by July 2026. Supported Areas for START - Engineering Energy Resilience: Power electronic converters for distributed energy resources and microgrids; High voltage DC transmission
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Northumbria University, will allow you to use both qualitative theory-driven evaluation skills and quantitative economic evaluation skills to examine the distribution of costs and benefits from these movements
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research in the field of AI for healthcare autonomous systems. Activities on non-healthcare systems could occasionally be requested. • Undertake research from algorithm development to real time
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, whilst having experience with implementing Bayesian algorithms will be an advantage. A background in biology is NOT required. The post is for up to 6 months, to 31st March 2026. Additional funding is
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theory-driven evaluation skills and quantitative economic evaluation skills to examine the distribution of costs and benefits from these movements in the past, and assess ongoing participatory action