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Position: Assistant Professor in Computational Social Science Methods
Institution: London School of Economics and Political Science
Department: Department of Methodology
Location: London, United Kingdom
Duties: Assistant Professor in Computational Social Science with expertise in quantitative methods. The post holder will contribute to the intellectual life of the School through conducting and publishing outstanding quality research, engaging in high quality teaching as instructed by the Head of Department, and participating in the School and wider Department activities. The post holder will be asked to teach both introductory and advanced courses in computational social science research methodology to multi-disciplinary groups of graduate students of social sciences
Requirements: Completed PhD, or close to obtaining a PhD by the post start date. Research expertise in a relevant social science discipline and in computational and quantitative research methodology. Track record or trajectory of internationally excellent publications. Ability to teach a range of data science courses, including the application of computational methods to social scientific research problems, programming, data manipulation, data analysis
   
Text: LSE values diversity and strives to promote equality at all levels. For this post, we particularly welcome applications by women and ethnic minorities. Department of Methodology Assistant Professor in Computational Social Science Methods Salary is competitive with Departments at our peer institutions worldwide. The salary scale starts at £54,984 per annum (pay award pending) and can be found on the LSE website The Department of Methodology is a leading centre for research and education in social science research methods. The Department has a thriving research culture, with its members advancing research in core social science disciplines as well as in research methodology. It leads the provision of research methods education to graduate students across the range of disciplines at LSE. The Department is recruiting an Assistant Professor in Computational Social Science with expertise in quantitative methods. Candidates should have completed a PhD, or close to obtaining a PhD by the post start date, and have research expertise in a relevant social science discipline and in computational and quantitative research methodology. They should have a track record or trajectory of internationally excellent publications. They should have the ability to teach a range of data science courses, including the application of computational methods to social scientific research problems, programming, data manipulation, data analysis. We are especially interested in candidates using big data and computational methods to address significant social, political, and economic challenges. The other criteria that will be used when shortlisting for this post can be found on the person specification, which is attached to this vacancy on the LSE’s online recruitment system. In addition to a competitive salary the benefits that come with this job include an occupational pension scheme, a research incentive scheme with personal reward options, generous research leave (sabbatical) entitlement, a collegial faculty environment and excellent support, training and development opportunities. For further information about the post, please see the how to apply document , job description and the person specification. To apply for this post, please go to www.lse.ac.uk/LSEJobs . If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email Prof. Jon Jackson at J.P.Jackson@lse.ac.uk . The closing date for receipt of applications is 20 January 2019 (23.59 UK time). W e are unable to accept any late applications. LSE values diversity and strives to promote equality at all levels. For this post, we particularly welcome applications by women and ethnic minorities. Department of Methodology Assistant Professor in Computational Social Science Methods Salary is competitive with Departments at our peer institutions worldwide. The salary scale starts at £54,984 per annum (pay award pending) and can be found on the LSE website The Department of Methodology is a leading centre for research and education in social science research methods. The Department has a thriving research culture, with its members advancing research in core social science disciplines as well as in research methodology. It leads the provision of research methods education to graduate students across the range of disciplines at LSE. The Department is recruiting an Assistant Professor in Computational Social Science with expertise in quantitative methods. Candidates should have completed a PhD, or close to obtaining a PhD by the post start date, and have research expertise in a relevant social science discipline and in computational and quantitative research methodology. They should have a track record or trajectory of internationally excellent publications. They should have the ability to teach a range of data science courses, including the application of computational methods to social scientific research problems, programming, data manipulation, data analysis. We are especially interested in candidates using big data and computational methods to address significant social, political, and economic challenges. The other criteria that will be used when shortlisting for this post can be found on the person specification, which is attached to this vacancy on the LSE’s online recruitment system. In addition to a competitive salary the benefits that come with this job include an occupational pension scheme, a research incentive scheme with personal reward options, generous research leave (sabbatical) entitlement, a collegial faculty environment and excellent support, training and development opportunities. For further information about the post, please see the how to apply document , job description and the person specification. To apply for this post, please go to www.lse.ac.uk/LSEJobs . If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email Prof. Jon Jackson at J.P.Jackson@lse.ac.uk . The closing date for receipt of applications is 20 January 2019 (23.59 UK time). W e are unable to accept any late applications. Apply Save Send Print
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