Postdoc: Computational Text Analytics for Democratic Resilience

Corehr; Oxford; Hybrid; GBP 38,000 - 46,000; Full time

Benefits offered by this job

38 days annual leave

Maternity and paternity leave benefit

Hybrid and flexible working

Cycle loan scheme

Discounted bus travel

Job summary

University of Oxford’s Department of Politics and International Relations seeks a Postdoctoral Research Fellow in Computational Social Science and Text Analysis to advance its Higher Education and Democratic Resilience Programme. You will lead computational analyses of texts and collaborate with interdisciplinary researchers.

The successful candidate will hold a doctorate in political science or a related field, engage with legislation, policy documents and political discourse, and contribute to

Qualifications

• Lead computational analysis of legal, regulatory and political texts using NLP methods.
• Develop innovative approaches to analysing complex textual data for governance research.
• PhD in political science or a closely related field or near completion.

Responsibilities

• Analyse legislation, policy documents and political discourse to track developments affecting university governance.
• Colloborate with interdisciplinary team to shape the programme's computational research agenda.
• Communicate findings to stakeholders and contribute to research outputs.

Skills

Computational social science

Natural Language Processing

Text analysis

Education

Doctorate in political science or related field

Tools

Python

Job description

University of Oxford’s Department of Politics and International Relations seeks a Postdoctoral Research Fellow in Computational Social Science and Text Analysis to advance its Higher Education and Democratic Resilience Programme. You will lead computational analyses of texts and collaborate with interdisciplinary researchers.

The successful candidate will hold a doctorate in political science or a related field, engage with legislation, policy documents and political discourse, and contribute to