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This PhD project will develop next-generation grid-scale energy storage solutions integrated into HVDC (High Voltage Direct Current) systems at the University of Edinburgh, in partnership with UK
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induction programme will be delivered to all new appointees. Key Duties and Responsibilities Conduct and manage research and related administrative activities, with guidance as required, ensuring that project
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control algorithms for whole system efficiency optimisation. Design and simulate power management circuits using tools like SPICE or MATLAB/Simulink. Prototype and test circuits with real energy harvesters
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Computing Strategies: Develop algorithms that dynamically adjust computing resources to minimize energy usage without compromising performance. Thermal Management Techniques: Design systems that effectively
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providing a structured, semantic framework that enhances knowledge sharing and data reuse across different platforms and systems. Project Aim This PhD will develop an ontology-based methodology to improve
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of marginalised communities through documents, interviews, and focus groups to understand their views on health data governance. Additionally, you will also be responsible for managing some organisational elements
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, in situ mimicking of tissue forces, allowing us to map tissue and cell responses to mechanical inputs. This role provides an opportunity to contribute and integrate in ongoing projects as
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inductance, ensuring uniform current sharing among parallel devices, and developing effective thermal management solutions tailored for low-temperature operation. Additionally, the project will explore robust
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
, generating tangible impact to improve emission reduction and polymer waste management in the UK. This PhD project seeks to build on successful proof-of-concept research on sustainable polymer biodegradation
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in device behaviour will be explored to minimize false positives Scalability and Real-world Deployment: This research project will address the scalability of the proposed detection system to handle a