Postdoctoral Research Fellow in Computational Social Science

TN United Kingdom; Oxford; On-site; GBP 35,000 - 55,000; Full time

Job summary

Join a forward-thinking research team at a prestigious university as a Postdoctoral Research Fellow in Computational Social Science. This exciting role involves advancing our understanding of gender inequalities in digital connectivity, particularly in low and middle-income countries. You will leverage computational, statistical, and social data science methods to create impactful research outputs that inform policy and engage with stakeholders. Collaborate with an interdisciplinary team and contribute to innovative research that shapes the future of gender equality in the digital age. This is a unique opportunity to make a significant impact in a dynamic and supportive environment.

Qualifications

• Experience in computational and statistical methods for social research.
• Proven ability to handle and analyze large datasets.

Responsibilities

• Developing methodologies for data collection and integration.
• Analyzing gender inequalities in digital connectivity.

Skills

Computational Data Science

Statistical Analysis

Machine Learning

Social Data Analysis

Research Methodologies

Education

PhD in Social Science

Postdoctoral Research Experience

Tools

Statistical Software (e.g., R, Python)

Data Visualization Tools

Job description

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Postdoctoral Research Fellow in Computational Social Science, Oxford

Client: University of Oxford

Location: Oxford, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: f57bf444c361

Job Views: 5

Posted: 05.05.2025

Expiry Date: 19.06.2025

Job Description:

Department of Sociology, 42-43 Park End Street, Oxford, OX1 1JD

About the role

This is a postdoctoral position led by Professor Ridhi Kashyap and supported by the Gates Foundation. We are recruiting a postdoctoral researcher to advance scientific understanding and inform policy on the impacts of digital expansion on gender equality and women’s social and economic opportunities.

The post holder will develop research using computational, statistical, and social data science approaches to expand knowledge on gender inequalities in digital connectivity, especially in low and middle-income countries like Africa and South Asia. Responsibilities include developing and maintaining data infrastructures and methodologies to collect and integrate web, social media, and geospatial data with survey datasets for analyzing gender inequalities.

Research areas include:

1. Creating real-time indicators of digital connectivity by gender at granular spatial resolutions using social media, population, and survey data, employing statistical and machine learning approaches.
2. Analyzing social and demographic impacts of digital expansion, particularly from a gender perspective, using quasi-experimental methods.

The research outputs will inform policy and knowledge exchange with stakeholders. The post holder will contribute to impact activities and work within an interdisciplinary team led by Professor Kashyap, affiliated with the Department of Sociology and the Leverhulme Centre for Demographic Science. The position is fixed-term for up to 24 months, starting as soon as possible, ideally by July 2025, with some flexibility.