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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers
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of women in the fields of science and technology, engineering and mathematics. In addition we deliver teaching across 6 undergraduate and post-graduate programmes: Chemistry; Physics; Electrical
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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-certification, and redeployment, as well as social acceptability and policy design. About you You should hold a relevant PhD/DPhil, or be near completion, in electrical engineering, economics, applied mathematics
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must be able to demonstrate an excellent track record in one or more areas of AI. You will be expected to design, conduct and manage original research and deliver innovation projects in AI applied in
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. Qualification requirements The selected candidate should have a master’s degree in a related field: e.g., civil engineering , mechanical engineering , computational materials science , or applied mathematics
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) that combines a mix of remote and regular on-campus working. Your skills and attributes for success: Essential PhD (or near completion) in Computer Science, Physics, Mathematics, or related field
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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applications from women and or candidates from a BME background for this vacancy as they are currently under-represented at this level in our University. Click the 'Apply' button below to register an account
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recognising excellence in championing employment of women in the fields of science and technology, engineering and mathematics. In addition, we deliver teaching across 6 undergraduate and post-graduate