16 computing-"https:"-"https:"-"https:"-"SAPIENZA---UNIVERSITA'-DI-ROMA" PhD positions at University of Birmingham
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- or part-time research programme. This includes current doctoral researchers in the College of Arts and Law. The funding will be available from September 2026. One scholarship is available offering
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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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interactions into account with data-driven method. This research is inherently multidisciplinary, lying at the interface of fluid and solid mechanics, acoustics, and computing science. It will potentially
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the group of computational aerodynamics and aeroacoustics (CA^2) led by Dr Zhong-Nan Wang at the University of Birmingham. The CA^2 research group focuses on developing high-fidelity Computational Fluid
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industrial-scale Positron Emission Particle Tracking, and cutting-edge Terahertz Raman spectroscopy. On the computational side, they will develop and apply a broad range of highly-transferrable digital tools
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validation in representative environments. The successful candidate will gain expertise in electrochemical sensing, microengineering, and computational modelling, and will join an interdisciplinary research
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k Si3N4 and then the additive manufacturing of the components with the aim of achieving complex geometries with the enhanced ceramic. Funding notes: This PhD programme will be hosted in the School
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ready for further downstream magnet recovery processes. Who we are looking for A first or upper-second-class degree in an appropriate discipline such as, robotics, mechatronics, computer
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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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with long-standing vaccine programmes, disease remains a challenge. In this project the student will use genomic and novel computational approaches to examine the S. pneumoniae causing severe infections