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-based solutions (NbS) for water and wastewater treatment. The research will explore sustainable engineering strategies to boost their performance to deliver benefits for the environment and society. The
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integrate the exciting environment of the recently merged City St George’s University of London, and a vibrant multidisciplinary team of scientists, engineers, and clinicians. This project offers
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science or engineering related discipline. Experience with experimental campaigns would also be desirable. To apply please contact the supervisor: Dr Hannah Mullings, Prof Tim Stallard and Dr Samuel
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/settled students): Sunday 21 September 2025 at 23.59pm International students are advised to check requirements for student visas (including Immigration Health Surcharge - IHS) and Academic Technology
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of artificial intelligence (AI) nowadays, it has become possible to develop a fast-response AI-based condition monitoring system for gas turbine engines. The objective of the project is to develop novel AI-based
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technologies. Metamaterials, engineered to exhibit properties not found in naturally occurring materials, offer an innovative pathway to overcome these limitations. By designing intricate periodic or quasi
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo (School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025
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members of the Department and scientific collaborators based in other institutions. In particular, there will be links with the Department of Computer Science and Technology in Cambridge. The post-holder
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; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working