Assistant Professor, Computational Social Science & AI

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

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