671 embedded-system-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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) under the supervision of Dr Elina Spyrou . Summary of Project: Power systems are central to the transition towards net-zero energy systems, and they are transforming in two ways. First, their generation
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several underwater robotics deployments across Cumbria; therefore, it is expected that the candidate will be based at the University of Manchester’s RAICo One facility (https://hotrobotics.co.uk/facilities
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validation methods employed for battery systems created for electric vehicles, aerospace or stationary storage. This PhD will aim to deliver a new validated methodology for scientifically assessing lithium-ion
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Project advert In conservation management, it is vital to understand and determine the species present within an environment. However, the detection of aquatic species can be challenging when
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generation of AI systems capable of reasoning, autonomous decision-making, task orchestration, and multi-agent collaboration. The successful candidate will work alongside an active research group specialising
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synthesis and formulation platforms, the project will generate and screen a diverse library of polymers optimised for mucosal delivery. The resulting delivery systems could enable next-generation vaccines
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Due to unique properties of supercritical CO2 (sCO2), power generation systems using sCO2 as working fluid have many advantages over their counterparts, such as gas turbines and steam turbine power
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and associated costs are not covered. Closing date: 20th February 2026 Interviews: TBC (online) Start date: September 2026 Project Title: NatureNet: AI systems for conservation and the management
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, cooperative operation among connected electrified vehicles such as airport trailers, delivery pods, or urban mobility fleets. Using multi-agent systems, reinforcement learning, and digital-twin technologies