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Field
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project’s focus is to: Conduct cutting-edge experiments to investigate how surface texture affects seal performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with
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-critical decisions in real time. These systems rely heavily on sensor data (e.g., GPS, pressure transducers, image processors), making them vulnerable to stealthy threats like False Data Injection (FDI) and
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Application deadline: 14/11/2025 Research theme: HVDC, renewable energy, power networks, modelling How to apply: uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK
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.” Research will contribute to the creation of new approaches and standards for an intelligent networks and agentic web with particular emphasis on policy-based authorization, delegation of entitlements, and
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performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling
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in partnership with National Grid Electricity Transmission (NGET), funded under the Network Innovation Allowance (NIA). You will play an active role in the following activities: Organising and
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for path inference; introducing sensors; behaviour classification; resource-constrained active-learning; other IoT applications; microbattery development and field experiments and flight path analysis
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, optoelectronic, neuromorphic; Scale-up and Systems - Nanomanufacturing, cellular manufacturing, sensors /actuators, bioelectronics, IoT, theranostics; Frontiers in Nano-Metrology - in-situ nanometrology, electron
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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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Primary supervisor - Dr Penelope Pickers Background Current projections of the global land carbon sink are widely divergent, because there is currently no robust method to separate net ecosystem