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on Thursday 15 October 2026. Informal enquiries may be addressed to Prof Noa Zilberman: [email protected] Further information can be found at http://www.eng.ox.ac.uk/jobs/home The Department holds
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(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
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significant area of unmet medical need globally. Find out more about the Lanyon-Hogg group’s research at: https://www.pharm.ox.ac.uk/research/lanyon-hogg-group The post holder will be responsible for design
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to the development of high-quality empirical research proposals on relevant research questions, to be operationalised from conception through to research ethics, data collection and writing up. You will lead on the
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explores genetic causes of neurological disorders and aim to develop therapies for these conditions with a high complementary approach, ranging from stem cell modelling to functional genomic. Information
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and Severe Mental Illness group in the Department of Psychiatry, University of Oxford, to analyse clinical, biomarker and neuroimaging data from major MRC and NIHR funded studies of psychosis. What We
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dimensions of AI screening tools for mental health risk; from research design, research ethics submission, data collection, analysis, and outputs About You You will have or to be close to completion of PhD
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). The researcher should have a PhD/DPhil in robotics, computer vision, machine learning or a closely related field. You have an excellent academic track record in topics relevant to robot perception. A specific
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. About the role As Postdoctoral Researcher in Big Data for Cardiovascular Population Health, you will play a key role in applying machine learning, health statistics, and large-scale medical and population
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. Information on the research activity of the lab is available at: https://www.rinaldi-lab.com/. The successful candidate will be involved with all aspects of the data analysis including design, experimental