How to Apply
A cover letter is required for consideration for this position and should be attached and uploaded as the first page of your CV/resume. The cover letter should list the course or courses that you are applying for and address your specific skills and experience that are outlined in the required qualifications.
If you have held a GSI position at U-M, as part of your cover letter, please provide the course title, number, term, and faculty instructor for each course taught. Please also attach a copy of your UM transcript.
Responsibilities*
Appointments will be either 25% or 50%, depending on the course assignment and departmental needs.
Depending on the specific course assignment, GSI responsibilities typically include:
- Attending course lectures (schedules vary by course).
- Leading discussion, laboratory sections
- Grading exams and homework sets
- Holding regular weekly office hours (typically 3 hours per week)
Required Qualifications*
- You must be enrolled as a graduate student in good standing at the University of Michigan for the Winter 2027 term
- Available to attend the scheduled lecture/discussion/lab times
- Have previously completed these courses or equivalent courses in Statistics or Data Science and have demonstrated expertise and interest in the subject area.
- Experience with Canvas.
- If the language of instruction at a student's undergraduate institution was not English, they must be evaluated by the English Language Institute (ELI) for English proficiency and either pass the GSI-OET or have this test waived by the ELI before they can be eligible for a GSI appointment in LSA.
Desired Qualifications*
- Preference for LSA Graduate Students who have previous GSI experience teaching LSA course
- Previous experience teaching the courses listed in under Course Description or equivalent courses in Statistics or Data Science
Course Description
This single posting covers GSI appointments for the following courses for the Winter 2027 term. Applicants will be considered for all courses listed in their preference statement:
STATS 250: Introduction to Statistics and Data Analysis
STATS 280: Honors Introduction to Statistics and Data Analysis
STATS 401: Applied Statistical Methods II
STATS 412: Introduction to Probability and Statistics
STATS 425: Introduction to Probability
STATS 426: Introduction to Theoretical Statistics
DATASCI 507: Data Science and Analytics using Python
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 the work modes.
Contact Information
Please contact Kerby Shedden, [email protected], for questions about the position.
Decision Making Process
Applications are reviewed, and decisions are made based on each applicant's knowledge, experience, and
past teaching record. The Graduate Program Chair will make the hiring decision.
Offers will be extended by December 11.
Selection Process
Applications are reviewed, and decisions are made based on each applicant's knowledge, experience, and past teaching record. Preferential consideration will be given to applicants:
- Previous experience teaching courses in Statistics or Data Science
- Previous experience as a GSI with favorable student evaluations
- LSA Graduate Students in good standing
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 at https://spg.umich.edu/policy/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 Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.