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, enabling early detection of damage. Renewable Energy: Rapid, optimized design of wind turbine blades and structures for greener energy. Microstructures: Accurate, efficient analysis of devices like MEMS
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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opportunity for a motivated scientist to unpick the impact of host factors on tumour structure. To lead this research as a doctoral student you will be passionate about using large-scale data to address
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protocols for electrical biasing of samples in the microscope. A key task is to process and analyse large 4D-STEM data sets and extract information about domain wall structure and dynamics. The role involves
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with knowledge and interest in structural dynamics, finite element analysis, programming and numerical methods. Applicants are expected to have achieved or be about to achieve a First-class honours MEng
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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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uncertainty quantification for robust structural design, particularly for complex aero-engine systems with limited experimental data. Recent work by the University of Southampton developed a novel data driven
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or surface plasmon resonance), mass spectrometry, analysis of protein structures or enzymology • Be able to demonstrate a high level of expertise and success in the previous research areas, e.g. by