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part of the EPSRC Centre for Doctoral Training (CDT) in Net Zero Aviation, offering an integrated, multidisciplinary training programme focused on innovation, collaboration, and inclusive leadership. As
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to machine learning and deep neural networks, into the DG finite element solver to reduce computational costs while maintaining the accuracy. The key objective of this work will be to provide step-change
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electricity cannot benefit from the use of renewable energy sources and nuclear power for decarbonisation. To meet the net zero target by 2050 it is therefore imperative that the use of natural gas is phased
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The PhD research project is an EPRSC Industrial Cooperative Awards in Science and Engineering (ICASE) with Constellium, a global leader in the development, manufacturing, and recycling of aluminium
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. This position is part of the CDT in Net Zero Aviation, which offers a modular, cohort-based training programme with emphasis on innovation and impact, collaborative working and learning, continuous development
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Discipline: Engineering & Technology, Civil Engineering Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: All qualified candidates (both UK and International students) Award
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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complete application for your chosen PhD programme by the deadline for your department (below). Section 9 of the application asks for your funding intentions. In this section, you should detail fully all
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constructed to support the researcher as the PhD progresses with specific courses aimed at the different phases of a PhD. For example, the programme includes aspects such as research methods, technical report
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addition to networking opportunities and training through our existing doctorate training programmes and the Southampton Marine and Maritime Institute (SMMI). The PhD position would suit motivated candidates with