60 parallel-processing-bioinformatics PhD positions at Newcastle University in United Kingdom
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pressures from climate change, urbanisation and ageing infrastructure. Although high-fidelity numerical models can simulate hydrodynamic and pollutant transport processes, their computational cost limits
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salts Characterisation of CO2 permeation performance for CO2 capture and direct air capture conditions This project is a collaboration between the Process Intensification Group (PIG) and Materials
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subsurface. Across both system types, accurate representation of coupled thermal, hydraulic, mechanical, and chemical (THMC) processes within heterogenous reservoirs is essential for understanding reservoir
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fermentation–separation processes to enhance efficiency and reduce fuel costs and lifecycle greenhouse gas (GHG) emissions. Research Activities Strain screening: Identify and evaluate microbes for efficient C5
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studentships. Available PhD projects include (detailed project descriptions and supervisor contact details can be found here ): Digital twins with state-of-the-art Gaussian process emulation for decision making
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work employing group 1 metals to enable sustainable, mechanochemical processes (see: Nature Synthesis, 2025, ASAP and J. Am. Chem. Soc. 2025, 147, 40895 ). The aim of the project is to develop a series
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fluids within the porous structure of sedimentary rocks. These processes are critical for both conventional open-loop geothermal developments and engineered systems, including closed-loop configurations
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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural
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explore key physical processes governing CO2 plume migration, trapping mechanisms, and fluid–rock interaction under realistic subsurface conditions. The goal is to generate insights that improve the safety
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have the opportunity to develop their computational modelling capabilities in this project, alongside learning new skills such as testing on biological tissues and medical image processing