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This Graduate Student Instructor (GSI) position is a 30% effort position for QMSS 201 - Introduction to Quantitative Methods in the Social Sciences. The course trains students in descriptive statistics, data collection, management, and cleaning, providing an overview of research design and hands-on experience using data to answer social science research questions.
Job Responsibility:
Attend course lectures (6 hours/week)
Teach 1 x 2-hour lab section each week
Dedicate at least 3 hours per week of office hours and/or individual meeting times
Participate in weekly teaching team meetings
Assist with software/tools/datasets
Co-create problem sets and other assignments
Grade and provide constructive feedback on assignments and projects
Participate in QMSS program activities
Requirements:
Graduate student in good standing
Registered for not less than six (6) credit hours (five with advisor approval)
Proficiency with analytic tools (Excel, Tableau, Stata, R, Python, etc.)
Nice to have:
LSA doctoral students within their funding package
Mastery of quantitative methods in the social sciences
Graduate degree in a quantitative methods- or social sciences-related field
Real-world job/internship, teaching, and/or research experience
Strong commitment to serving as a resource for undergraduate students
Ability to make quantitative methods accessible to students of all levels