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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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with a rigorous approach to research. Applicants should have, or be expected to gain a high 2:1, preferably a 1st class honours degree in Chemical or Mechanical Engineering or Chemistry or a related
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Manufacturing research group (CfAM). The student will work in world-class laboratory facilities in the CfAM engaging with interdisciplinary team with expertise in 3D printing, biotechnology, physics, and
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the paper industry. Motivation This project will form part of a wider network of European partners spread across Europe from Universities (Nottingham/Ghent/Maastricht), smaller SMEs (Nova Biochem), Research
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manufactured using plasma spray and mini-combustion flame spray and examined in SEM/EBSD and tested in a burner rig and furnace thermal cycling. As a part of a CDT cohort, you will have access to tailored
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partners and test centres. Physical testing, such as controlled spin-burst experiments, will complement advanced finite element analysis (FEA) in evaluating failure behaviour. Who we are looking
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, the software or staff knowledge while supporting the system. It is important to note that obsolescence management plays a key role in improving safety, security, efficiency, and lifetime of a system, and such
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this by monitoring infectious disease trends and outbreaks using systems that collect information over time and allow unusual changes to be detected. While these normally count laboratory test results
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addressing the behaviour of thin foil materials for aerospace forming applications. The successful candidate will have a first-class or upper second-class honours degree in mechanical engineering or a related
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and a construction and testing capability up to 5MW Vision This project aims to leverage the electric propulsion hardware developed in the EU-funded €40M NEWBORN – “NExt generation high poWer fuel cells