63 phd-in-architecture-landscape-built-environment PhD positions at University of Nottingham
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the Department of Architecture and Built Environment , which conducts cutting edge research into architectural history, theory, and criticism, where you will work with leading scholar and architectural historian
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PhD funding opportunity Do you have an Architectural Degree and are interested in the sustainable intervention of built heritage at risk? Are you curious about how digital recording technologies can
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Discover your career The world of the University of Nottingham is defined by our people and the values we share. Our environment is an ambitious vision brought to life across vibrant and forward
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staff and more than 6 PhD students. See https://www.nottingham.ac.uk/mathematics/research/mathematical-neuroscience.aspx for further information. The positive research environment fostered by the School
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PhD Studentship – New approaches for studying the structure of high-temperature molten materials Transition: (October 2025 start) Supervisor 1: Emma Barney Supervisor 2: Oliver Alderman (ISIS
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms Background Network Rail operates several telecom networks which provide connectivity for various...
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BRC PhD: Improving recovery from pneumonia after hospitalisation Applications are invited from UK students for a three-year PhD studentship funded by the NIHR Nottingham Biomedical Research Centre
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The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming
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Fully-funded PhD Studentship: Adaptive Mesh Refinement for More Efficient Predictions of Wall Boiling Bubble Dynamics This exciting opportunity is based within the Fluids and Thermal Engineering
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In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and