Assistant Professor in Computational Social Science

London School of Economics and Political Science; Greater London; On-site; GBP 61,000 - 75,000; Full time

Benefits offered by this job

Occupational pension scheme

Research leave

Job summary

London School of Economics and Political Science (LSE) invites applications for an Assistant Professor in Computational Social Science within the Department of Methodology. The appointee will conduct and publish high-quality research, contribute to teaching across social data science courses, and engage in School activities.

Candidates should hold a PhD (or near completion) and demonstrate expertise in applying quantitative and computational methods to social science questions, with a track

Qualifications

• PhD or near completion in a social science or related field.
• Strong track record or trajectory of internationally excellent research in computational social science.
• Experience teaching and mentoring at graduate/undergraduate levels.

Responsibilities

• Conduct and publish high-quality research in computational social science.
• Deliver teaching across social data science courses as instructed by the Head of Department.
• Contribute to School activities and a collegial academic environment.
• Develop and contribute to new courses focusing on data science and AI applications.

Skills

Quantitative methods

Programming

Data analysis

Teaching

Generative AI

Education

PhD (or near completion) in a relevant field

Tools

R

Python

Job description

Assistant Professor in Computational Social Science

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

As an equal opportunities employer strongly committed to diversity and inclusion, weencourage 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.

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 . They should have a track record or trajectory of internationally excellent publications and 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.

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.

The closing date for receipt of applications is 11 th October 2026 (23.59 UK time). We are unable to accept any late applications.

Assistant Professor in Computational Social Science