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that appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, the initial appointment will be as a Research Assistant on Grade 6B, Spine point 25 (salary £37,332 per
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carrying out statistical analysis. Please visit Work at UCL for further information. About you The candidate must have a PhD or equivalent working experience in epidemiology, global health, statistics
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of Healthcare Engineering and the School of Biomedical Engineering and Imaging Sciences at King’s College London. We bring together leading academics within medicine, engineering and medical physics, along with
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of anticipated completion of a PhD in Medical Statistics or Epidemiology. Experience conducting independent research using routinely collected electronic health records and writing analytic code in Stata, R and/or
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. This post is available immediately and is funded to 31 July 2025 in the first instance. About you You will hold a PhD or equivalent work experience in quantitative social science (e.g. demography, economics
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, with staff drawn variously from economics, sociology, social policy, demography, psychology, anthropology and social statistics. We promote problem-solving interdisciplinary research on particular themes
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Assistant. About you You will have a PhD or MSc with experience in a relevant discipline (e.g. statistics, epidemiology, public health). You will have advanced quantitative and statistical software skills
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Methods (NCRM) and the Office for National Statistics (ONS). Its objective is to deliver a step-change in survey research to ensure that it will remain possible in the UK to carry out high-quality social
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(). About you The successful candidate should have a PhD in epidemiology, quantitative social science, statistics or other relevant discipline, postdoctoral experience conducting high quality academic
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, due to limited amount of funding available. About you The postholder will have a PhD in a relevant discipline – which might be either more technical or related to the substantive topic area. Disciplines