42 brain-computer-interface-"Multiple" Fellowship positions at University of Nottingham
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. Structured around four interconnected research strands—(Re)conceptualising, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform global responses
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institutions; (ii) interact in a professional manner with industrial partners in a highly multidisciplinary environment; (iii) work to very tight deadlines and manage multiple projects; (iv) Report regularly
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, direct and perform an independent research programme with substantial deliverables. Ideal candidates will also have expertise in sustainable cities and communities, human-environment interface and the
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and genetic regulation of obesity, addiction and the gut-liver-brain axis. You will be working within the GI and Liver theme of the NIHR Biomedical Research Centre and the Biodiscovery Institute (https
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closely collaborates with the international-leading SCAN research group at Centre for Human Brain Health at the University of Nottingham, with close links to Professor Stephane de Brito and Professor
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chemistry, electrochemistry, materials chemistry, or a related discipline. The candidate will work within the Nottingham Applied Materials and Interfaces Group at the University of Nottingham, reporting
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3 years starting August 2025 or as soon as thereafter. Informal enquiries may be addressed to: Dr C.F. Kwong, Department Head of Electrical and Electronic Engineering, email: Chiew-Foong.Kwong
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United Kingdom Application Deadline 10 Sep 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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conduct the research activities into the computational fluid dynamics simulation and optimisation of vortex reactors. You will develop physical and numerical models for the three-dimensional simulation
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, alignment, and characterisation of laser-based instrumentation. • Strong experience with computer programming, both for signal processing and experimental hardware control (e.g., C, C++, Python, MATLAB