40 computer-security-"https:"-"https:"-"https:"-"LGEF" PhD positions at Newcastle University
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training support grant of £20,000 and 100% fees paid (Home/UK only). Overview Mexico is experiencing an escalating water security crisis shaped by environmental pressures, rapid urbanisation, and complex
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fees paid. Overview Globally, drought and water scarce events pose a significant threat to water security, resulting in catastrophic direct and indirect impacts across domestic and water-intensive
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, techno-economic analysis, digital and business skills, ethics etc. You will also undertake short courses in the core subjects of this PhD programme including process intensification and green chemistry
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registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code:8209F · Select ‘PhD Water
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the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme
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subjects of this PhD programme including process intensification and green chemistry. Number of awards: 1 Start date: 1st October 2026 Award duration: 4 years Sponsor: EPSRC Supervisors Professor Kamelia
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economy, security studies, and foreign relations), political philosophy and theory, gender and politics, environmental politics, sustainability, public policy and area studies. Number of awards: 1 Start
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prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
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industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete