GSI for COGSCI 446 (Winter 2027)

The University of Michigan

Ann Arbor (MI)

On-site

USD 28,000 - 39,000

Part time

25 hours ago
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Job summary

The Weinberg Institute at the University of Michigan seeks one Graduate Student Instructor for Winter 2027 to support faculty-led lectures in COGSCI 446: Cognitive Science and Generative AI, with about 150 enrolled students.

The GSI will teach lab sections, grade assignments, attend lectures, hold at least two office hours weekly, and coordinate with the lead instructor while responding to student emails; position may be onsite or hybrid per department policy.

Qualifications

  • Enrolled in good standing as a graduate student at the University of Michigan.
  • Available to teach the scheduled section times.
  • Experience with the relevant courses and demonstrated interest in the subject area.
  • English proficiency may require ELI evaluation if instruction language was not English.

Responsibilities

  • Attend lectures and participate in in-person sessions as scheduled.
  • Provide at least two office hours weekly.
  • Support students in coursework and labs.
  • Grade assignments under lead faculty guidance.
  • Meet weekly with the lead instructor and respond promptly to emails.

Skills

Canvas proficiency

Education

Graduate student in good standing, University of Michigan

Job description

Responsibilities*
  • Attend all lectures (Verify your own course schedule against the schedule for the course to which you are applying as a GSI. All GSIs are required to attend the lecture and lab times as posted.) Note that class sessions are scheduled as in-person instruction.
  • Hold at least 2 office hours each week.
  • Support students in their coursework.
  • Grade assignments, per lead faculty instruction.
  • Meet weekly with the lead instructor and respond promptly to emails.
  • Additional items listed in fraction calculation form
Required Qualifications*

Enrolled in good standing as a graduate student at the University of MichiganAvailable to teach the scheduled section times

  • Have previously taken these courses or relevant courses, and have demonstrated expertise and interest in subject area
  • Experience with Canvas
  • If the language of instruction at a students undergraduate institution was not English, the student 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 LS&A.
Desired Qualifications*
  • Previous experience as a GSI is desired
  • LSA graduate students are preferred
Course Description

The Weinberg Institute is looking to hire 1 GSI in the Winter 2027 term to manage provide teaching and class support, grade, and lead lab sections for faculty-led lectures in the following course:

  • COGSCI 446: Cognitive Science and Generative AI, 1 section (anticipated enrollment: 150 students)This course examines how new developments in generative artificial intelligence (AI) might help us make progress in cognitive science. We look systematically at a number of specific areas where generative AI models and methods might offer illumination, including perception, language, reasoning, decision‑making, cognitive architecture, and cognitive development.
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 .

The course instructor will make the hiring decisions.

Selection Process

Applications are reviewed, and decisions made, based on each applicants knowledge, experience, and past teaching record. Preferential consideration will be given to applicants with relevant academic preparation for teaching the course material.

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.

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.

Job Opening ID

285206

Job Title

GRAD STU INSTR

Modes of Work

Onsite

Full/Part Time

Part-Time

Regular/Temporary

Regular

FLSA Status

Exempt

Organizational Group

College Of Lsa

Posting Begin/End Date

11/02/2026 - 11/16/2026

Graduate Students
Graduate Student Instructors (GEO)

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