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QMSS 301 GSI

How to Apply

Applicants must submit a cover letter, curriculum vitae (CV) or resume, copies of previous teaching evaluations (if applicable), and a copy of your unofficial transcript(s) from current and/or previous institutions that showcase your current and previous coursework in social sciences and/or quantitative methods. In your cover letter, please explain why you would like to GSI for QMSS (including which course(s), if applicable) and the skills (e.g., analytical tools such as Excel, R, Tableau, Python, etc.) and experiences (e.g., jobs, internships, research, coursework, teaching, etc.) that contribute to your qualifications. If the files you need to upload in 1 document exceed the size limit of the application portal, please upload your cover letter and CV or resume at minimum to the portal, and then send all other files directly to the QMSS Program Manager at [email protected] to be included with your application. Applicants that fail to upload all required materials or follow these application instructions will not be considered.

Course Description

These Graduate Student Instructor (GSI) positions in QMSS are 35% effort positions. There are 2 available positions for Winter 2026. Between Winter 2021 and Fall 2025, QMSS received an average of 36 applications per regular term for all available GSI positions.

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 of discussions will include developing social science questions and identifying, accessing, managing, and analyzing data that can inform those questions. Students learn web scraping, geospatial analysis, text-based analysis, and predictive analysis. Students will be taught and asked to use R and Python in this course.

For information about class size, please refer to the LSA GSI Class Size policy here:LSA GSI Class Size Policy (https://docs.google.com/document/d/1qQN3Ut9B9pJMkFj25Y4ZIobnDG5P6rVoGng7vx6PF0Y/edit?tab=t.0) .

Responsibilities*

Mandatory duties for these positions include, but are not limited to:

+ Attend course lectures (3 hours/week).

+ Teach 2 x 1-hour lab sections each week. Lab times are scheduled so that GSIs may be able to teach 2 back-to-back sections in the same room for ease of planning, though this is not guaranteed.

+ Dedicate at least 3 hours per week of office hours and/or individual meeting times to address student questions.

+ Attend a minimum of 7 QMSS Community Hours events throughout the semester for a total of 14 hours. Community Hours are designed to be a supplement to traditional office hours during which students from all QMSS courses can come to work independently or in groups (depending on the rules of given assignments) on problem sets, projects, and/or exam studying. During Community Hours, 1-2 GSIs from each QMSS 201 and QMSS 301 course will be expected to be present for possible student questions. You may be assisting students who are not enrolled in your lab sections. QMSS Community Hours will be scheduled once per week on a Monday, Tuesday, or Wednesday evening from 6pm - 9pm.

+ 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.

Required Qualifications*

To be appointed as a GSI or GSSA, a graduate student must be in good standing in their degree program and for Terms I and II, must be registered for not less than six (6) credit hours. With written approval of the student's faculty advisor, five (5) credit hours may be acceptable.

Proficiency with analytic tools (Excel, Tableau, Stata, R, Python, etc.) is required. You do not have to be proficient in all analytic tools associated with QMSS 301 to be considered or qualified.

Experience with social sciences research, coursework, and/or perspectives as they pertain to data analysis, interpretation, and communication is required.

Desired Qualifications*

LSA doctoral students within their funding package are desired. A mastery of quantitative methods in the social sciences, pursuing a graduate degree in a quantitative methods- or social sciences-related field, and real-world job/internship, teaching, and/or research experience that will help in teaching undergraduate students how to perform quantitative analyses using common analytical tools in order to answer social science questions is desired. A strong commitment to serving as a resource for undergraduate students and ability to make quantitative methods in the social sciences accessible to students of all levels of previous experience (including none at all) is strongly preferred.

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about thework modes (https://hr.umich.edu/working-u-m/my-employment/ways-we-work-resource-center/ways-we-work-implementation-group/modes-work) .

Contact Information

For any questions, students can reach out to [email protected] .

Decision Making Process

The Director of Quantitative Methods in the Social Sciences awards all GSI positions based on stated qualifications, criteria, and academic discretion. Priority will be given to LSA doctoral students within their five year funding commitment, with a preference for students pursuing degrees in a social science discipline.

Selection Process

Only fully complete applications following the application instructions will be reviewed. Top candidates of interest based on their submitted applications will be invited for a behavioral interview with QMSS faculty, which will take place either in-person or remotely over Zoom. Candidates selected for an offer by the QMSS Director will demonstrate the necessary skills, experiences, and perspectives to succeed as a QMSS Graduate Student Instructor.

The QMSS Program anticipates that offers will be extended to selected candidates by no later than Friday, December 12, 2025.

GEO Contract Information

The University will not discriminate against any applicant for employment because of race, creed, color, religion, national origin, ancestry, genetic information, marital status, familial status, parental status or pregnancy status, sex, gender identity or expression (whether actual or perceived), sexual orientation, age, height, weight, disability, citizenship status, veteran status, HIV antibody status, political belief, membership in any social or political organization, participation in a grievance or complaint whether formal or informal, medical conditions including those related to pregnancy, childbirth and breastfeeding, arrest record, or any other factor where the item in question will not interfere with job performance and where the employee is otherwise qualified. The University of Michigan agrees to abide by the protections afforded employees with disabilities as outlined in the rules and regulations which implement Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act.

Information for the Office for Institutional Equity may be found at https://oie.umich.edu/ and for the University Ombuds at https://ombuds.umich.edu/

Unsuccessful applications will be retained for consideration in the event that there are last minute openings for available positions. In the event that an employee does not receive their preferred assignment, they can request a written explanation or an in-person interview with the hiring agents(s) to be scheduled at a mutually agreed upon time.

This position, as posted, is subject to a collective bargaining agreement between the Regents of the University of Michigan and the Graduate Employees' Organization, American Federation of Teachers, AFL-CIO 3550.

Standard Practice Guide 601.38, **Required Disclosure of Felony Charges and/or Felony Convictions** applies to all Graduate Student Assistants (GSAs). SPG 601.38 may be accessed online athttps://spg.umich.edu/policy/601.38 (https://spg.umich.edu/601.38) , and its relation to your employment can be found in MOU 10 of your employment contract.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.

Job Detail

Job Opening ID

270311

Working Title

QMSS 301 GSI

Job Title

GRAD STU INSTR

Work Location

Ann Arbor Campus

Ann Arbor, MI

Modes of Work

Onsite

Full/Part Time

Part-Time

Regular/Temporary

Regular

FLSA Status

Exempt

Organizational Group

College Of Lsa

Department

LSA Quant Methods & SocSci Pgm

Posting Begin/End Date

10/31/2025 - 11/17/2025

Career Interest

Graduate Students

Graduate Student Instructors (GEO)