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continuous water quality measurement in rivers. This is in response to the national need to monitor wastewater overflow spills. The technology has the potential to be deployed to 1000’s of UK river locations
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informatics, and energy systems, and offers the opportunity to directly contribute to the operation and design of next generation fusion facilities. This EngD project is set within the Fusion Engineering CDT
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(see below). There is currently one fellowship available where the successful candidate will join one of our Cardiovascular Research Teams, details as follows: - BRC Theme: Cardiovascular / Imaging
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Skills - programming proficiency (C, Matlab, Python) hands on MRI experience image processing skills Soft skills excellent verbal and written communication ability to diagnose engineering problems and
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation School of Electrical and Electronic Engineering PhD Research Project Self Funded
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understating of the fundamental process of organellar replication, insights gained from this work will aid downstream translational projects of chloroplast engineering to develop crops with better traits
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Novel Optical Sensing: Instrumentation and Measurement School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Matthew Hobbs Application Deadline: Applications accepted
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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
data, combine the data with process modelling and scale up towards a commercial design. A second application is the removal of carbon dioxide from the air, a core technology of a $3.5 billion US
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electromagnetic disruption. This technology has already provided a unique window on processes within cellular structures and chemical reactions. There is now over a decade of scientific evidence that
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application in a working environment in some of the following: Insect neuroscience/behaviour; Electrophysiology; Data/image/video analysis; Drosophila genetics; Electron microscopy; Computer programming