Assistant Professor in Computational Social Science Methods

Department of Methodology

 

Salary is competitive with Departments at our peer institutions worldwide and not less than £53,004 pa inclusive.

 

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 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 and have research expertise in a relevant social science discipline and/or 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 large 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 job description and the person specification.

 

If you have any queries about applying on the online system, or require an alternative format for the application, please call: 020 7955 6209 or contact Ken Benoit at [log in to unmask]

 

The closing date for receipt of applications is 8 March 2017 (23.59 UK time). We are unable to accept any late applications. 

Interviews are expected to be held in the weeks of 27 March and 3 April 2017.







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