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Research Assistant Political Science Internship information

What does a research assistant in a political science internship do?

A Research Assistant in a Political Science Internship supports faculty or researchers by gathering, analyzing, and interpreting data related to political topics. Typical tasks may include conducting literature reviews, collecting survey or polling data, creating reports, and helping prepare presentations or academic papers. Interns gain hands-on experience in research methodologies and may also assist with administrative tasks or participate in project meetings. This role provides valuable exposure to the field of political science and helps develop research, analytical, and communication skills.

What types of projects and responsibilities can I expect as a research assistant during a political science internship?

As a Research Assistant in a Political Science internship, you'll typically be involved in tasks such as collecting and analyzing data, conducting literature reviews, preparing research summaries, and assisting with drafting reports or academic papers. You may also help with organizing interviews, surveys, or focus groups, and supporting faculty or lead researchers with administrative tasks related to ongoing projects. Collaboration with other interns, graduate students, and faculty members is common, providing valuable exposure to both independent and team-based research work.

What are the key skills and qualifications needed to thrive as a research assistant in a political science internship, and why are they important?

To thrive as a Research Assistant in a Political Science Internship, you need strong analytical abilities, research methodology knowledge, and often coursework in political science or related fields. Familiarity with statistical software (such as SPSS or Stata), data collection tools, and academic databases is typically required. Attention to detail, effective communication, and organizational skills are crucial soft skills that set candidates apart. These competencies ensure accurate data analysis, clear reporting, and efficient support for research projects within academic or policy-focused environments.

What is the difference between Research Assistant Political Science Internship vs Research Associate Political Science?

AspectResearch Assistant Political Science InternshipResearch Associate Political Science
Required CredentialsUndergraduate or graduate student, relevant courseworkBachelor's or master's degree, research experience
Work EnvironmentInternship setting, academic or research institutionsFull-time research roles, universities, think tanks
Employer & Industry UsageUniversities, government agencies, NGOsResearch institutions, policy organizations, academia

In summary, a Research Assistant Political Science Internship is typically an entry-level, temporary position for students gaining experience, while a Research Associate Political Science is a more advanced, often full-time role requiring prior research experience. Both roles are common in academic and policy research settings but differ in responsibilities and qualifications.

Research Assistant Political Science Internship jobs near you
Infographic showing various Research Assistant Political Science Internship job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Assistant Professor in Quantitative Political Science

University of Notre Dame

Notre Dame, IN • On-site

Full-time

Re-posted 22 days ago

University Of Notre Dame rating

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Company rating: 7.4 out of 10

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338th of 628 rated colleges and universities

Job description

Description
The Department of Political Science at the University of Notre Dame invites applications for a tenure-track appointment at the rank of Assistant Professor in Quantitative Political Science, beginning fall 2027. We seek a scholar with substantive expertise in American Politics, Comparative Politics, Political Economy, International Relations, or the intersection of these fields, who applies frontier methods of statistics and data science to substantive questions in their area of expertise. Strong candidates will have a research agenda that demonstrates innovative uses of quantitative methods - such as machine learning and AI, text-as-data, network analysis, causal inference, or large-scale data collection - to generate substantively important insights into core questions in political science, as opposed to a focus exclusively on methodological contributions. We are particularly interested in candidates whose teaching could complement or contribute to the graduate methods sequence in political science. Duties include teaching, research, and service.
This position is part of the University's Data, AI, and Computing (DAC) Initiative, a University-wide effort that "balances ground-breaking foundational advances in data, AI, and computing with transformative interdisciplinary applications targeting societal challenges," and the successful candidate will hold an affiliation with the Initiative. Teaching obligations will include undergraduate offerings in the Data Science minor and supplemental major in the College of Arts & Letters.
Qualifications
Candidates at the entry level must have completed all requirements for a Ph.D. degree or have completed all but dissertation in political science or a related field with degree expected by July 1, 2027. Candidates at the advanced assistant professor level must have a Ph.D. in political science or a related field.
Applications received by September 15, 2026 will receive full consideration.
Application Instructions
Those attracted to a university with a Catholic identity are particularly encouraged to apply. Information about Notre Dame, including our mission statement, is available at www.nd.edu.
All applicants should include a CV, a letter of interest, a research statement, a teaching statement, one writing sample, teaching evaluations, and three letters of recommendation. Questions may be directed to Professor Richard Clark, chair of the search committee, at richard.clark@nd.edu.

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