Lecturer in Quantitative Social Science
Join UCL’s Social Research Institute as a Lecturer in Quantitative Social Science to advance interdisciplinary research on climate change and environment.
Best for:Best for established researchers with a PhD in sociology, economics, or demography, strong quantitative skills in causal inference, and a passion for interdisciplinary climate and environmental research.
Overview
This Assistant Professor position at the University College London (UCL) Social Research Institute offers an opportunity to contribute to cutting-edge research and teaching in quantitative social science. The successful candidate will apply advanced methods—particularly causal inference—to pressing environmental and climate change challenges. The role involves shaping the institute’s research portfolio, securing external funding, and delivering modules on data science and social research methods. Applicants with expertise in R/Python and a commitment to open scholarship, inclusive pedagogy, and impactful research are encouraged to apply.
What you'll do
- Develop and lead an ambitious research agenda focused on climate change and environmental challenges using advanced quantitative methods, particularly causal inference.
- Apply interdisciplinary quantitative social science methods to real-world problems and produce research with demonstrable impact beyond academia.
- Teach and lead modules on BSc Social Sciences with Data Science, MSc Social Research Methods with Data Science, and MSc Sociology programs, potentially co-leading these programs over time.
- Secure external funding from diverse sources to support research initiatives and contribute to the institute’s interdisciplinary research portfolio.
- Engage in open and collaborative scholarship, innovative pedagogy, and inclusive curriculum design to enhance teaching and research practices.
- Actively participate in the intellectual and collegial life of the Social Research Institute, fostering collaboration and knowledge exchange.
Requirements
Degree required: PhD in sociology, economics, demography, or a related field, with a focus on advanced quantitative methods, completed by the time of appointment.
Language: English; proficiency required for teaching, research, and communication within the department.
Instruction: English
Publications: A clearly articulated publication strategy targeting internationally leading journals in sociology and economics.
- Proven expertise in applying advanced quantitative methods, especially causal inference, to social science research.
- Proficiency in R or Python for data analysis and research.
- Experience in developing and implementing research agendas with a focus on climate change or environmental issues.
- Strong publication record targeting internationally leading journals in sociology, economics, or related fields.
- Ability to teach advanced quantitative methods and lead interdisciplinary research modules.
- Commitment to open and collaborative scholarship practices.
- PhD completion required by the time of appointment.
- No explicit nationality or residency restrictions mentioned.
Funding & terms
How to apply
Deadline: 2026-10-30
Applicants must submit an application through the UCL job portal, addressing all person specification points and demonstrating how their skills and experience meet each criterion. The application should clearly number and respond to each requirement.
- CV
- Cover letter addressing all person specification points
- Research statement or publication strategy
- Transcripts of academic qualifications
- Three reference letters
Contact
Kirstine Hansen· Director, QSS Research Centre and Chair of the Recruitment Panel
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.