At a Glance
- Tasks: Conduct groundbreaking research and teach innovative computational social science courses.
- Company: LSE, a leading institution committed to diversity and inclusion.
- Benefits: Competitive salary, pension scheme, generous research leave, and professional development opportunities.
- Other info: Collaborative environment with excellent career growth and support.
- Why this job: Join a vibrant academic community and make an impact in social science research.
- Qualifications: PhD or nearing completion, with expertise in computational and quantitative methods.
The predicted salary is between 68087 - 68087 £ per year.
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.
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.
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 (UK time). We are unable to accept any late applications.
Assistant Professor in Computational Social Science in London employer: London School of Economics and Polital Science
The London School of Economics and Political Science is an exceptional employer, offering a vibrant academic environment that fosters innovation and collaboration among scholars. With a strong commitment to employee development, faculty members benefit from extensive research opportunities and access to a diverse network of professionals in the field of international development. Located in the heart of London, the institution provides a unique cultural experience and the chance to engage with global issues at the forefront of social science research.
Contact Details:
London School of Economics and Polital Science Recruitment Team
