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of Glasgow, or University of Oxford) to undertake your PhD research. About this Project Project Title: Low-Power AI-Driven Resource Management for Enhancing Satellite Communication Link Reliability
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. Safety assurance and risk management frameworks are crucial to validate AI models against rigorous safety standards, addressing potential failures and ensuring safe operations in critical environments
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health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven
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initially, with possibility of extension. Although the post is particularly well-suited to candidates who ultimately plan to pursue a PhD, we ask applicants to commit to at least 12 months in the role so that
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resources, and design facilities, supporting AI-powered electronics research. This project will be conducted within Cranfield’s Integrated Vehicle Health Management (IVHM) Centre, established in 2008 in
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within the Centre for Digital Innovations in Health & Social Care, you will join an active research centre and will be collaborating with researchers as part of a programme of research concerned with
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where it is possible to compare and contrast signal phenomena within a field where local extinctions of earthworms have occurred (in known plots) due to management practices. Started in 1846, the plots
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applications and contribute to the evidence-base behind our innovative training programme, to develop compassionate, resilient healthcare practitioners. About you The ideal candidate will have a Master’s degree
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make technological advances in more efficient and resilient manufacturing systems that can cope with demands of high value products such as electric batteries. We will also make advances towards
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Type of award Scholarship Managing departments Faculty of Humanities Alliance Manchester Business School Value For successful applicants, The University of Manchester will cover their full tuition