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We invite applications for a fully funded PhD studentship (3.5 years) hosted by the University of Birmingham and conducted in collaboration with the UK Met Office. This project is ideal for
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Programme (DTP), offering one home and one overseas 3.5-year studentship covering full tuition fees and a standard UKRI stipend. For further details of how to apply, please click on the 'Apply' button above.
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There is widespread concern about the negative impacts of plastic and other anthropogenic solid waste (hereafter referred to as ‘plastics’) on global biodiversity (Law, 2017; Lau et al., 2020). Such materials are extremely slow to break down, which has resulted in discarded micro- and...
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between these molecules to engineer new quantum states. However, so far it is not well known how to achieve entanglement with molecules with such plasmonic systems. This PhD project will focus on developing
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. This PhD project will explore a novel approach: leveraging polymeric microelectromechanical systems (MEMS) technology to create a miniaturised micropump-based ingestible capsule that can actively deliver
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A competition-funded PhD studentship is available in the School of Chemistry at the University of Birmingham to develop and apply nuclear magnetic resonance spectroscopy and imaging to advance
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pathways, whilst their omission can introduce significant systematic biases in parameter estimation, detection pipelines, and tests of fundamental physics. In this PhD project, you will develop a
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, few people are trained in its operation. This PhD project will involve training on, and the further development of native mass spectrometry technology. The student will operate within the Advanced Mass
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Woodburning has emerged as the single most important source of primary fine particulate matter (PM2.5) in Birmingham and likely many other UK cities. Exposure to PM2.5 from wood stoves contributes to hundreds of premature deaths each year in Birmingham and imposes a significant burden on public...
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enable by two-photon polymerisation 3D printing rationalizes the use of the powerful topological optimisation. The PhD candidate should have completed (or about to complete) their undergraduate degree in