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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) as part of the ACORN IAA and is for 12 months. The researcher will develop visual mapping and change detection algorithms
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; multi-modal scene sensing and interpretation; pre-harvest fruit quality assessment; and perception algorithms for autonomous crop harvesting. We are particularly interested in applicants with experience
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monitoring, infrastructure inspection and emergency response. This PhD will develop a mathematical and algorithmic framework to assess and improve the resilience of FL‑enabled autonomous systems under
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, optimisation and algorithm-aware content design. International teaching or industry experience. Why Join Us? At the University of Plymouth, you'll become part of a creative and research-active community
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) until 31 March 2027 (with the possibility of an extension). The appointed candidate will support advanced research initiatives focusing on systems design, distributed systems, and algorithmic optimisation
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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks
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designs for incorporation into Test Chips in SiGe or III-V materials. Assist research into signal processing strategies and algorithms, to support the emerging Test Chips. Design and create prototype
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-structures. Develop numerical algorithms and computer codes that can be used to model nonlinear optical effects pertaining to light-matter interaction. Validate the theoretical models and software tools by
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to, quantum complexity theory, quantum algorithms, the underpinning mathematics of quantum computation, and quantum computing interfacing with neighbouring disciplines. The post-holder will be responsible
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develop and validate novel LiDAR and vision-based algorithms, integrate these with a robotic manipulator and conduct laboratory and commercial field trials. The researcher will also work closely with