CV Template · Political Scientist
A political scientist CV needs to show more than interest in public affairs; it should prove methodological depth, subject expertise, and the ability to turn complex evidence into usable insight. Whether you work in academia, government, think tanks, polling, or international organisations, your CV should make your research agenda, analytical tools, and policy outputs easy to assess.
Hiring managers and search committees look for clear evidence of research design, data analysis, publication record, and policy communication. A strong political scientist CV should name your subfields, such as comparative politics, political behaviour, public policy, security studies, or international relations, and connect them to concrete outputs: peer-reviewed articles, policy briefs, survey instruments, election datasets, legislative analysis, or grant-funded projects. Include tools and methods such as R, Stata, Python, GIS, qualitative coding, causal inference, interviews, fieldwork, or archival research. For applied roles, show experience briefing officials, evaluating programmes, monitoring elections, or producing reports for NGOs, agencies, or multilateral bodies.
Use dissertation work, research assistantships, capstone projects, conference papers, and internships as evidence of capability. Include the research question, methods used, datasets or sources analysed, and any outputs such as posters, memos, codebooks, or policy briefs. If you supported a faculty project, specify your role in data cleaning, literature reviews, survey administration, or qualitative coding.
Yes, but separate them into clear categories so academic and applied readers can find what matters to them. List peer-reviewed journal articles, book chapters, and conference papers apart from think tank reports, government memos, op-eds, and commissioned policy briefs. This structure shows both research credibility and the ability to influence policy audiences.
The most useful technical skills depend on your subfield, but statistical tools such as R, Stata, Python, or SPSS are valuable for many research roles. Qualitative researchers should highlight NVivo, Atlas.ti, interview protocols, archival methods, process tracing, and multilingual fieldwork where relevant. For election, conflict, or governance research, GIS, survey platforms, and experience with administrative or geospatial datasets can strengthen the CV.
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