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Computational Social Scientist for Inequality and Polarization Research
3 weeks ago
The University of Reading seeks a highly motivated computational social scientist to contribute to the UKRI-funded project 'DIVIDED: Inequality and Polarization Prevention'. This three-year, full-time position involves collaborating with leading experts in data science, economics, and politics to develop innovative research methods and analyse large datasets on economic inequality and social networks.
We are looking for a talented researcher with advanced knowledge of R and experience using quantitative and computational methods. The successful candidate will have a PhD in a relevant field, such as political science, data science, or economics. As part of this role, you will spend a year at the LSE Data Science Institute, where you can access training and library resources, and become embedded in the industry networks and academic community.
The position is based in the Department of Politics and International Relations, a globally recognized centre of excellence in comparative politics, political theory, and international relations. You will be part of a dynamic team working on a range of projects, including gamification in mass surveys and experimental analyses. As a key member of the team, you will also co-author academic and non-academic outputs from the project.
Benefits of this role include:
- Opportunities to work on cutting-edge research projects
- Access to world-class facilities and expertise at the LSE DSI
- A supportive and inclusive working environment
- Possibility of sponsorship under the Skilled Worker Route
To apply, please submit your CV, cover letter, and details of two academic referees. Salary: £40,322 - £55,000 per annum, depending on experience (inclusive of London weighting).
