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engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine prototype development would be advantageous. Eligibility and Application
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prototype development would be advantageous. Eligibility and Application The position is open for both UK home and international candidates. PhD Start date: 1 October 2025 Application deadline: 10 June 2025
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student with an aerospace, mechanical engineering, or physics background. Experience of experimental and computational modelling of icing physics, instrumentation and imaging techniques would be
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techniques (e.g. electron microscopy) will then be applied to assess the extent of material degradation in each case. Characterisation could include in-situ tensile testing coupled with digital image
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the growing demand for sustainable AI-enabled systems, this PhD brings together low-power computing, energy-aware design, and thermal optimisation. You’ll work with advanced profiling tools, prototype long-life
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imaging using 3 Tesla MRI scanning to investigate brain biomarkers. Collaborate with clinical experts and patient groups, attend conferences and meet leading research experts. Project aims and objectives
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outputs for publication in medical journals. Master cutting-edge laboratory assessments of health and imaging using 3 Tesla MRI scanning to investigate skeletal muscle and energy metabolism biomarkers
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image analysis alongside in vitro testing methodologies to examine the biomechanical performance of interventions and how they vary with anatomical and tissue characteristics. You will have a background
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, including immunocytochemistry, Western blotting, and qPCR, alongside the application of microscopic imaging techniques. Responsibilities also include data collection, analysis, and presentation, as
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purification is desirable but not necessary. Candidates with physics and physical chemistry are encouraged to apply. Knowledge of coding and image analysis is desirable but not necessary. As well as supporting