Graduate Student Instructor - SI Fall
Ann Arbor, Washtenaw County, Michigan, 48103, USA
Listed on 2026-07-12
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Education / Teaching
IT/Computer Science Instructor, University Professor, College Lecturer
Graduate Student Instructor Position Available
University of Michigan School of Information (UMSI) Fall 2026 Graduate Student Instructor Positions Available Available Job Posting:
For a UM Master’s Student Course: SI 608 - Networks Course
Schedule:
Wednesday 9:00 AM - 12:00 PM
Number of available GSI positions:
Up to 1 position at.50 fraction, pending enrollment Positions reserved as part of funding package: 0 position(s) reserved for PhD Students as part of funding package
A.50 fraction GSI position offers a monthly stipend, tuition waiver, and health insurance. The expected work commitment is roughly 20 hours per week. This is an in-person GSI assignment as all discussion sections and labs are scheduled to be in-person for the TERM term. This appointment runs from [SEMESTER DATES] (from an employment/health benefit perspective). There could be prep time before the employment start date and all work for this course will be completed by the end of [December or April] (or slightly earlier).
All of the work hour details will be spelled out in the fraction calculation form for the person hired for this position. At the time of application, please include your availability for teaching all currently scheduled sections so that all GSI assignments can be made with everyone’s availability in hand. This information can be included in your cover letter.
Duties include:
- Assisting with course planning
- attending and possibly giving some of the course lectures
- having office hours and open lab times to meet with students
- attending weekly staff meetings
- helping create course assignments,
- grading student assignments and projects
- working with the students to help them as they work on the programming assignments
- UM Graduate student in good standing;
- Must meet eligibility criteria as defined in the GEO contract ;
- Applicants must be lawfully able to be employed in the United States, sponsorship to obtain such status is not available at this time;
- Previous success as an SI 608 student or equivalent combination of course work and experience;
- Applicants must have, or be willing to acquire prior to the semester, knowledge on social network analysis/network theory (equivalent or greater knowledge as https://(Use the "Apply for this Job" box below).).
- Experience or interest in teaching;
- strong communication and analytical skills;
- experience teaching programming and technology skills to beginning students.
- Experience teaching networks related topics
SI 608 - Networks --- This course will cover topics in network analysis, from social networks to applications in information networks such as the internet. We will introduce basic concepts in network theory, discuss metric and models, use software analysis tools to experiment with a wide variety of real-world network data, and study applications to areas such as information retrieval. For their final project, the students will apply the concepts learned in class to networks of interest to them.
More information about this course can be found on U-M’s Course Catalog via Wolverine Access.
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.
Background ScreeningThe University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Contact InformationPlease do not contact the faculty member who is teaching the course. Any questions should be directed to umsi.human.resources.
Decision Making ProcessThe application due date is July 24, 2026. All applications will be submitted for review to the faculty member teaching the course. After review of applications and possible interviews, decisions will be made by the faculty member teaching the course. It is anticipated…
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