Assistant Professor in Computational Social Science

London School of Economics and Polital Science; City Of London; On-site; GBP 61,000 - 75,000; Full time

Benefits offered by this job

Occupational pension

Research incentive scheme

Sabbatical leave

Professional development

Job summary

London School of Economics and Political Science seeks an Assistant Professor in Computational Social Science in the Department of Methodology. The role emphasizes conducting and publishing research, teaching, and developing innovative courses in computational social data science.

Applicants should have completed a PhD (or be near completion) with a strong record in quantitative methods, programming, data wrangling, and education in this area.

Qualifications

• PhD or near PhD in a relevant field.
• Strong publication record in social science methods.
• Experience applying computational methods to social data.

Responsibilities

• Conduct and publish high-quality research in computational social science.
• Teach and supervise courses in computational social data science.
• Develop new courses and contribute to existing offerings in AI-assisted methods.
• Collaborate with colleagues in the Department of Methodology and across the School.

Education

PhD or near PhD

Tools

Python

R

SQL

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 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 11th October 2026 (23.59 UK time). We are unable to accept any late applications.