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Graduate Student Instructor

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University of Michigan

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Location:
United States , Ann Arbor

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Category:

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The Quantitative Methods in the Social Science (QMSS) program aims to train undergraduate students in the theories and methods needed to be successful data literate social scientists. QMSS 301 - Quantitative Social Science Analysis and Big Data: This course will cover methodological approaches to answering social questions that combine theory and skills from social science, social research methodology, and big data techniques. Topics include developing social science questions and identifying, accessing, managing, and analyzing data. Students learn web scraping, geospatial analysis, text-based analysis, and predictive analysis using R and Python.

Job Responsibility:

  • Attend course lectures (3 hours/week)
  • Teach 3 x 1-hour lab sections each week
  • Dedicate at least 2 hours per week of office hours and/or individual meeting times
  • Attend weekly QMSS Community Hours events (19.5 hours total for semester)
  • 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.)
  • Experience with social sciences research, coursework, and/or perspectives as they pertain to data analysis, interpretation, and communication

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

Additional Information:

Job Posted:
March 25, 2026

Expiration:
April 06, 2026

Employment Type:
Parttime
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