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both challenges and opportunities for achieving net‐zero carbon targets. While AI data centres are often perceived as passive electricity consumers, they could act as active participants in integrated
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PhD Studentship - Process Industries: Net Zero - Optimisation bio-methanol production from high-moisture feedstock Award Summary 100% fees (UK Home only), a minimum tax-free annual living allowance
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. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The PINZ CDT will train the next generation of process and chemical engineers, and
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intensifying droughts and extreme rainfall in the UK, posing new challenges for the country’s extensive network of flood defence levees. While much attention has focused on flood overtopping, drought can degrade
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subject relevant to the proposed PhD project (Marine-, Trophic-, Network-, or Behavioural- Ecology, Ecological Physiology). Applicants whose first language is not English require an IELTS score of 6.5
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to develop the new processes, process technologies and green chemistries required for the process industries’ transition to Net Zero. This PhD will focus on scaling up and optimising MEC technology for real
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interests. Eligibility Criteria You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project (Marine-, Trophic-, Network
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opportunity to network and work directly with them as part of you PhD programme. Number of awards: 1 Start date: September 2026 Award duration: 3.5 years Sponsor: ESRC JUST Supervisors The core supervision team
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on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) model
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PhD studentship in High-Fidelity Simulations of Geological CO2 Sequestration (SIGECOS) Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate