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Field
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, the construction of the geological model remains a significant challenge. The geological model is key because it constrains the volumes and data used when inferring the mineral resources, which in turn inform
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Project advert In collaboration with the Aston Martin Aramco Formula One Team, we are offering a unique PhD opportunity to investigate how additive manufacturing waste streams can be recovered
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Spectrometry Facility at Birmingham; a large, multidisciplinary research team that works together operating the latest state-of-the-art mass spectrometers. The PhD will start with extensive training in the state
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they affect local and regional flood risk. This PhD project will explore how riverbeds in large tropical systems respond to the pressures of sand mining, and whether disturbed beds recover once mining stops
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and loss of migration across western Europe. Benefitting from the strong expertise of the supervisory team in stork ecology, movement analysis and spatial models, the project will leverage large
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; Nguyen et al., 2023). By integrating large scale, multi-modal data and leveraging self-supervised and transfer learning, these models demonstrate satisfactory spatial-temporal simulation and predictions
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. This PhD project will investigate the interactions between wildfire disturbance and thermokarst dynamics across Siberia and other Arctic regions using multi-sensor satellite remote sensing data provided by
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Application deadline: 30/11/2025 This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will receive
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DoS: Professor Sarah Boulton 2nd Supervisor: Dr Martin Stokes 3rd Supervisor: Dr Michael Whitworth, AECOM 4th Supervisor: Dr Joshua Jones, AECOM Applications are invited for a 3.5 years PhD
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having been used by humans and integrated the data with a global bivalve database of species traits, fossil occurrences and geographic distributions, setting the foundation for a forecasting framework