64 data-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Cranfield University
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for the collection of data to develop and validate prognostic models for filter degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection
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extracting useful knowledge from remote sensing data. About the Role To carry out research involving the integration of drone-based imaging, multispectral data analysis, phenotyping techniques, and the
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, environmental science, urban sustainability, geospatial analysis, or quantitative modelling. We particularly welcome applicants who are excited about integrating ecological understanding with data-driven methods
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training will be provided. We particularly welcome applicants who are excited about integrating ecological understanding with data-driven methods. There is flexibility to tailor the research to your
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multilayer printed circuit boards (PCBs). It draws from disciplines including electrical and electronic engineering, embedded systems, computer vision, and cybersecurity. The ability to verify hardware without
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information, as this will be requested at the application stage. Your proposal should demonstrate your interest and your potential to carry out independent research. Short two-page proposal that: Defines a
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, or question, An explanation of the proposed original contribution to knowledge, A brief review of relevant literature, A summary of intended research methodology and data collection approach, A statement on the
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systems safer, more efficient, and more sustainable. The aim of this project is to design a smart cognitive navigation framework that information from various sensors and learn to make decisions on its own
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at