The London School of Economics and Political Science (LSE)
Assistant Professor in Computational Social Science
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LSE is committed to building a diverse, equitable, and truly inclusive university
As an equal opportunities employer strongly committed to diversity and inclusion, we encourage applications from women and those of Minority Ethnic backgrounds as they are currently under-represented at this level in this area. All appointments will be made on merit or skill and experience relative to the role.
Department of Methodology
Assistant Professor in Computational Social Science
Salary is competitive with Departments at our peer institutions worldwide. Salary is no less than £68,087 per annum (pay award pending) and the salary scale 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.
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Based in the Department of Methodology, the post holder will contribute to the intellectual life of the School through conducting and publishing outstanding research, engaging in high-quality teaching as instructed by the Head of Department, and participating in the School and wider Department activities.
Applicants should have:
- Completed a PhD, or be close to obtaining a PhD, and have research expertise in applying computational and quantitative methods to an empirical social science discipline or disciplines.
- A track record or trajectory of internationally excellent publications.
- The ability to teach a range of computational social data science courses. This includes the application of computational methods to social scientific research problems, programming, data wrangling, and analysis.
- We are especially interested in candidates who use generative AI to address methodological and substantive research questions and who can develop new and contribute to existing courses in this area.
The full set of 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.
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Benefits
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
To apply for this post, please go to www.jobs.lse.ac.uk. 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 p.sturgis@lse.ac.uk
The closing date for receipt of applications is 11th October 2026 (23.59 UK time). We are unable to accept any late applications.
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