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performance of AI models for fall detection. The research will combine experimental studies on different floor systems, finite element simulations of vibration propagation, and AI-based signal analysis
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Mechanical, Materials, or Biomedical Engineering, or a related field. Interest in biomaterials, mechanobiology, or modelling. Familiarity with computational tools (Matlab, Python, or finite element analysis
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for an enthusiastic engineer to help us explore the mechanics of bone in patients with brittle bone disease, who is familiar with finite element modelling techniques and scripting. Osteogenesis imperfect (OI), also
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loading conditions. By generating datasets from finite element simulations, ML models can learn the mapping between unit cell design parameters and homogenised properties. State-of-the-art approaches
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candidate will enjoy working on finite-element based modelling, the application of mathematical concepts from UQ/ML to practical problems, and an understanding of scripting/programming. Individuals with
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from the fetal MRI scans. Additionally, mesh modelling techniques will be developed to create 3D Finite Element (FE) mesh models from the segmented fetal and maternal anatomy. These FE models will then
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, finite element simulations of vibration propagation, and AI-based signal analysis to establish a physics-informed understanding of the relationship between structural behaviour and fall detection accuracy
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, or modelling. Familiarity with computational tools (Matlab, Python, or finite element analysis). Analytical thinking and enthusiasm for interdisciplinary research. Ability to work independently and as part of a
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). Additional project costs will also be provided. Overview We are looking for an enthusiastic engineer to help us explore the mechanics of bone in patients with brittle bone disease, who is familiar with finite
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REF2029 impact. Methods and workplan Data and simulation: curate multi-fidelity datasets that couple finite-element heat simulations with active thermography experiments. Model design: extend FNOs with