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ability to work independently and collaboratively. To apply, please contact the supervisors Dr Bissett - mark.bissett@manchester.ac.uk and Prof Kinloch - ian.kinloch@manchester.ac.uk . Please include
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-fed systems. The project will be jointly supervised by Dr Yagya Regmi and Prof Laurie King. This new project will be highly collaborative and interactive, and so you will have the opportunity to learn
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context. The work will include, but is not limited to: investigating new mathematical formulations of the underlying physics; developing fast algorithms and numerical methods that leverage modern parallel
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, integrity-aware multi-domain navigation benchmark and associated algorithms, tested in realistic operational environments. The outputs will support standardisation efforts, accelerate cross-domain navigation
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. Watch recordings. Start Date October 2025 or January 2026 Award Duration 4 years Application Closing Date 12th September 2025 Sponsor HydroStar Europe EPSRC Supervisors Prof Elizabeth Gibson Eligibility
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test the extent to which these generalise across brain areas and species. You will be working with an interdisciplinary team led by Prof Andrew Jackson funded by the Advanced Research and Invention
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" (Supervisor: Prof Timothy O'Leary) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic
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2025 Sponsor HydroStar Europe EPSRC Supervisors Prof Elizabeth Gibson Eligibility Criteria You must have, or expect to gain, a minimum 2:1 Honours degree, or international equivalent, in chemistry, or
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VR/AR, quantum tech, life-sciences, computing and biomedical imaging. The project will work on cutting-edge optical technologies alongside collaborators Prof Melissa Mather, Prof Dmitri Veprintsev, and
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and