UNIVERSITY OF MICHIGAN SCHOOL OF INFORMATION (UMSI)
WINTER 2025 GRADUATE STUDENT INSTRUCTOR POSITION(S) AVAILABLE

AVAILABLE JOB POSTING: FOR A U-M GRAD STUDENT

Course: SI 330 - Data Manipulation
Course Schedule: Please see course schedule below

The School of Information has an Available Job Posting for 2 GSI positions at .50 fraction. 

There are 0 PhD student GSIs assigned to this course. 

Number of positions reserved as part of funding package: 0 

SI 330 Winter 2024 Application Total: 84

SI 330 Data Manipulation
Lecture: Monday and Wednesday, 2:30pm - 4:00 pm
Discussion: Tuesday, 9:00am - 10:00am; Tuesday, 9:00 - 10:00; Tuesday, 3:00 - 4:00 pm; Wednesday, 1:00 - 2:00

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 Winter 2025 term. This appointment runs from January 1 through April 30, 2024 (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 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.

Please indicate your interest by submitting a cover letter and resume electronically using the umjobs.org website. Below are some instructions to help you through this application process.

1. Go to http://www.umjobs.org

2. Click on "Login" (upper right corner). Use your umich uniqname and password.

3. Click on "U-M Graduate Student on the Ann Arbor campus" identifying yourself as a UM Graduate Student (fourth option)

4. Click in the "Search for Jobs" box at the top of the page

5. Enter the Job Opening ID #256776

6. You are now in the standard application. Answer all questions and proceed through the application process as prompted. Upload your application as one document (preferably a Word or PDF document) including your cover letter with information on availability and resume.

7. Click "Submit" when you are finished.

*Having trouble uploading your document?

The most common cause of upload and display issues can be attributed to an unsupported operating system or internet browser. Internet Explorer is the browser of choice when using the site, however, if one browser doesn't seem to be working properly, switch to a different browser and/or clear your cache and cookies.

Double check your document type. The system accepts resumes/cover letters created in a .DOC, .DOCX, .PDF, .TXT .HTML or .RTF. Uploading your resume/cover letter as a Microsoft Word document is the recommended format. File names are limited to 35 characters or less and cannot contain punctuation marks or special characters.

SI 330 Data Manipulation - Data analysis is crucial to application evaluation, as well as understanding users' information needs. When the data required are numerous we need an automated way to gather, parse, and summarize the data. In this course, you will learn to use Python and its modules to accomplish these tasks.

More information about this course can be found on U-M's Course Catalog via Wolverine Access.

Attending all classes (3 hours/week) and actively supporting students in-class work. Scheduling and holding office hours. Completing all in-class exercises. Preparing and leading weekly discussions. Meeting weekly with the instructional team. Assisting in grading student work. Supporting students questions online. Writing and grading problem sets. Contributing to discussions and decisions about what would help students learn. Job duties are subject to change, depending on the needs of the students and/or the input of the GSI.

Graduate student in good standing;

Must meet eligibility criteria as defined in the GEO contract;

Must be lawfully able to be employed in the United States, sponsorship to obtain such status is not available at this time;

Must have one or more of the following skill sets:

1. substantial Python, Pandas, and SQL experience
2. previous success as an SI 330 or SI 618 student, or demonstrated success in a similar professional/academic context

Experience or interest in teaching; 

Strong communication and analytical skills; 

Experience teaching programming and technology skills; 

Significant experience with Python and basic data structures; 

Familiarity with large-scale computing frameworks such as Hadoop and Spark are also highly desirable.

The 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.

Please do not contact the faculty member who is teaching the course. Any questions should be directed to umsi.human.resources@umich.edu.

The application due date is November 26, 2025. 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 that decisions will be made by early December.

Previous experience with this course is preferred but not required;

Relevant academic preparation for teaching the course material; extent of prior instructional/work experience; 

Relevance to graduate training; 

Student evaluations if applicable; 

Availability for course time requirements; 

The ability to pass a coding interview.

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.

The University of Michigan is an equal opportunity/affirmative action employer.