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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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and develop an improved design and maintenance framework for long-term performance and climate resilience. The project will assess the influence of various slope drainage systems on pore pressures
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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are seeking a PhD student to conduct an in-depth investigation of children's and their carers lived experiences and perceptions of heat in schools in Accra, Ghana. The research will analyse the socio-cultural
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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small molecule interactions with DNA, RNA and associated proteins. We are exploiting our findings from such methods to design bifunctional small molecules that target the genome and chromatin-associated
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to the renewable energy revolution. Work with Industry Leaders: Collaborate with John Crane, a $1B global technology company driving innovation in sealing technologies. Gain Hands-On Research and Industry Experience
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the UK Lead on participant recruitment and conduct qualitative research using participatory methods and semi-structured interviews Analyse data, contribute to co-design workshops, write reports, and
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, critical for efficiency. A sophisticated numerical framework will be developed, coupling moving-mesh CFD with detailed chemical kinetics to evaluate advanced scavenging designs and low-temperature combustion
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Award Summary 100% of home tuition fees paid and an annual stipend (living expenses) at the UKRI rate (£20,780 for 2025/26). This funding is designed to support Home students only. Overview