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Position: Lecturer in Social Statistics/Survey Methodology/Quantitative Social Science
Institution: University College London
Department: Centre for Longitudinal Studies
Location: London, United Kingdom
Duties: You will be expected to undertake and publish scholarly research using quantitative methods making use of longitudinal datasets housed at CLS and other sources while making a major contribution to the CLS Applied Statistical Methods and Survey Methods programmes and taking responsibility for the production of regular reports on survey response and analysis of non-response bias to the cohort studies managed by CLS
Requirements: Completion of a PhD in statistics/social statistics, survey methodology, a quantitative social science or health-related discipline is essential as is research expertise in the field of social statistics or survey methodology or a field of applied quantitative social science involving the use of advanced statistical methods. Previous experience of use of the CLS cohort studies is desirable
   
Text: Lecturer in Social Statistics/Survey Methodology/Quantitative Social Science, - Ref:1732115 Click here to go back to search results Apply Now UCL Department / Division Centre for Longitudinal Studies Specific unit / Sub department Department of Social Science Location of position London Grade 8 Hours Full Time Salary (inclusive of London allowance) ?43,023 - ?50,753 per annum Duties and Responsibilities This post represents an exciting opportunity to undertake high-impact research in UK?s birth cohort studies using rigorous quantitative methods. CLS is looking to increase its range and/or depth of statistical and methodological expertise by the appointment of a social statistician, survey methodologist or a social scientist with another disciplinary background with expertise in quantitative methods relevant to our core research, methodological and teaching interests. You will be expected to undertake and publish scholarly research using quantitative methods making use of longitudinal datasets housed at CLS and other sources while making a major contribution to the CLS Applied Statistical Methods and Survey Methods programmes and taking responsibility for the production of regular reports on survey response and analysis of non-response bias to the cohort studies managed by CLS. You will also be expected to contribute to the work of maintaining, developing and promoting the CLS cohort studies, advise colleagues in CLS on other statistical matters that they meet in their research, raise research funding from research councils, foundations and public bodies, contribute to the CLS programme of workshops and training events to promote the CLS studies, participate in the capacity building of the research communities through contributing to the department?s teaching of quantitative methods and supervision of research students and enhance the profile of CLS, DSS, IoE and the wider UCL. This post is available from 1 November 2018 Key Requirements Completion of a PhD in statistics/social statistics, survey methodology, a quantitative social science or health-related discipline is essential as is research expertise in the field of social statistics or survey methodology or a field of applied quantitative social science involving the use of advanced statistical methods. Previous experience of use of the CLS cohort studies is desirable. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy click on the ?Apply Now? button below. If you have any queries regarding the vacancy, please contact George Ploubidis ( g.ploubidis@ucl.ac.uk ). We particularly welcome applications from black and minority ethnic candidates as they are under-represented within UCL at this level. Closing Date 8 Aug 2018 Latest time for the submission of applications 23:59 Interview date TBC Our department is working towards an Athena SWAN award. We are committed to advancing gender equality within our department. This appointment is subject to UCL Terms and Conditions of Service for Academic Staff. Please use these links to find out more about the UCL Terms and Conditions related to this job, employee benefits that we offer and further information about UCL . Job Description and Person Specification Apply Now
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