44 operations-management-associate-professor PhD positions at Cranfield University in Uk
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more sensitive and faster cancer imaging. This PhD project will focus on surface functionalisation of metascintillators to optimise their scintillation performance, light yield, timing resolution, and
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for Security Operations Centres (SOCs) while pioneering strategies for quantum-era resilience. This project sits at the intersection of Artificial Intelligence, Cybersecurity, and Explainable Computing. It
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development. The student will also have access to Cranfield’s state-of-the-art laboratories and a vibrant research community, as well as chances to present their work at international conferences and build a
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presentation to conference and drafted white papers for the EU, as such they would present their work to senior management of different companies (e.g., Uniper, Siemens-Energy, Baker Huges, Engie). At a glance
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sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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where it co-locates with the UK Race2Space programme. Each R2T2 studentship is associated with an industrial partner active in the launch industry, and provides full funding and stipend, an extensive
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. Green Aviation Operations and Infrastructure. Aviation Environmental, Commercialisation & Socio-Economic Aspects. The CDT in Net Zero Aviation is the world’s first Centre of Excellence for Net Zero
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compliance and operational integrity. The application of AI in these areas enhances the ability to predict system behaviours, detect anomalies, and streamline certification workflows. AI-driven tools can
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. Working with Thames Water’s Engineering Innovation Team at Kempton Park, you will: Benchmark two novel underwater skimming robots and a weed-management robot against conventional dry skimming in parallel