Lecturer in Quantitative Social Science

1000scholars; Greater London; On-site; GBP 55,000 - 75,000; Full time

Job summary

UCL Institute of Education invites applications for a Lecturer (Assistant Professor) in Quantitative Social Science to contribute to research and teaching across sociology, economics, and related fields.

The appointee will develop an ambitious agenda on environment and climate change, teach advanced quantitative methods including causal inference, and publish in leading journals while seeking external funding.

Qualifications

• PhD required in sociology, economics or demography.
• Experience with advanced quantitative methods and a publication trajectory.
• Experience teaching at undergraduate and/or postgraduate levels.

Responsibilities

• Teach modules on quantitative social science across BSc/MSc programmes.
• Develop an ambitious research agenda on environment/climate change.
• Seek external funding and publish in leading journals.

Skills

Quantitative methods

Causal inference

R

Python

Teaching

Education

PhD in sociology, economics or demography

Tools

R

Python

Job description

Founded in 1902, UCL Institute of Education has been shaping policy and helping government, organisations and individuals navigate a changing society for the last 120 years. We embrace collaboration and excellence to create a future that is inclusive and just and have been ranked number one for education every year since 2014 in the QS World University Rankings by Subject.

The Social Research Institute, formerly the Department of Social Science in the UCL Institute of Education, is one of the leading centres for social research in the UK. It is home to seven internationally renowned research units:

• Centre for Longitudinal Studies
• Centre for Time Use Research
• Cohort & Longitudinal Studies Enhancement Resources (CLOSER)
• Evidence for Policy & Practice Information Centre (EPPI)
• Quantitative Social Science (QSS)
• Social Science Research Unit
• Thomas Coram Research Unit

About the role

We are now seeking a Lecturer (Assistant Professor) in Quantitative Social Science to contribute to our research and teaching. Relevant fields include sociology, and economics.

A research agenda on the environment and/or climate change is welcome.

Applicants with the ability to teach advanced quantitative methods, particularly causal inference and proficiency in R/Python are especially welcome.

The post holder will contribute to and help shape our interdisciplinary research portfolio by applying advanced quantitative social science methods to pressing real-world challenges around the environment and climate change. They will be expected to develop an ambitious research agenda, seek external funding from a diverse range of sources and produce work with demonstrable impact beyond academia.

The successful candidate will teach and lead modules on our BSc Social Sciences with Data Science, MSc Social Research Methods with Data Science or MSc. Sociology programmes and may be invited to (co-)lead these programmes over time.

We are particularly interested in applicants with a commitment to open and collaborative scholarship, innovative pedagogy, and inclusive curriculum design.

Appointees will also be expected to contribute actively to the intellectual and collegial life of the department.

The post is available from 01 September 2027.

For further information contact Professor Kirstine Hansen at [e-mail], chair of the recruitment panel.

About you

You'll have a PhD in sociology, economics or demography where advanced quantitative methods have been applied, completed by time of appointment. A research agenda around the environment and/or climate change. A clearly articulated publication strategy and pipeline targeting internationally leading journals in sociology, and economics.