Professor/Associate Professor in Computational Social Science

LSE is committed to building a diverse, equitable and truly inclusive university

For this post, we particularly welcome applications from women and people from minority ethnic groups.

Salary is competitive with Departments at LSE’s peer institutions worldwide and not less than £98,250 pa inclusive for the Professor post and £73,267 pa for the Associate Professor post. The salary scale can be found on the LSE website.

The Department of Methodology is a leading international 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 methodological innovation and development. It leads the provision of research methods education to students across the range of disciplines at LSE.

The Department is recruiting a new faculty position in Computational Social Science to join its growing research and teaching group in this area. The post is available at either the Professor or the Associate Professor level.

Based in Department of Methodology, 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.

Candidates at the Professor level should hold a PhD and have extensive expertise in the development and/or application of computational methods in the social sciences. They should have an outstanding international reputation as a scholar applying cutting edge computational social science methods to substantive research questions and a significant track record of excellence in teaching computational research methods for the social sciences at undergraduate or postgraduate level. Candidates at the Professor level should also demonstrate leadership experience and be prepared to play an active role in the management and leadership of the Department and the School, including serving as Head of Department in the future.

Candidates at the Associate Professor level should hold a PhD and have extensive expertise in the development and/or application of computational methods in the social sciences. They should have an emerging international reputation as a scholar applying cutting edge computational social science methods and a track record of outstanding research. They should have a significant track record of excellence in teaching computational research methods for the social sciences at undergraduate or postgraduate level. Candidates should also demonstrate leadership experience and be prepared to play an active role in the management and leadership of the Department.

The other criteria that will be used when shortlisting can be found on the person specifications, which are attached to this vacancy on the LSE’s online recruitment system. Applicants must clearly state which post (Professor or Associate Professor) they are applying for.

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.

To view the full brochure with information on LSE, as well as the full job description and person specification for the post, please visit the website of LSE’s recruitment partner (Society) by clicking here. 

Applications should consist of a CV accompanied by a brief Covering Letter addressing the criteria in the Person Specification, electronic copies of three publications, as well as names and contact details of three referees. Please note referees will only be approached at the final stage of the process, and only with your express permission.

To book a confidential conversation or for more information, contact:
Victoria Sanders-Clarke at victoria.sanders-clarke@society-search.com,
Vasile Boico at vasile.boico@society-search.com, or call +44 (0) 20 3653 0480.

The closing date for receipt of completed applications is on Sunday, 15 October 2023 (23:59 GMT). 

Shortlisted candidates will be invited to interview in November 2023.