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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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solutions for maritime propulsion systems. The primary aim of the project is to design and implement a flexible, high-performance control strategy for an integrated power system consisting of an ammonia
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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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control engineering and/or numerical optimisation Interest in embedded systems or real-time autonomous applications Programming experience in a compiled language (e.g. C, C++, Rust) Application Procedure
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challenge that needs to be overcome. By understanding and controlling how small droplets dissolve and feed the growth of larger ones, we can design systems with finely tuned size, stability, and function
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tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
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(ED&I) and alternative routes into research. Desirable skills include experience in modelling and simulation (MATLAB/Simulink, Python), energy systems, and intelligent control methods. Applicants should
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of disciplines and collaborations with users where appropriate. Studentships will be awarded to outstanding applicants, the distribution will be overseen by the University’s EPSRC Strategy Group in partnership
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tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
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Deadline: 27th February 2026 One fully funded, full-time PhD position to work with Dr. Eleonora D’Arnese at the School of Informatics, University of Edinburgh. The aim of this project is to develop