How to Apply

Please indicate your interest by submitting a transcript 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 #236417
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 transcript, your resume, and any teaching evaluations*
7.       Click "Submit" when you are finished.
 

Course Description

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.
 

Responsibilities*

Attending all classes (3 hours/week) and actively supporting students? in-class work. Scheduling and holding office hours. Completing all in-class exercises. Meeting weekly with the instructional team. Assist in grading exams. 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 student and/or the input of the GSI. Holding and designing sections. 
 

Required Qualifications*

• 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
• The applicant must have one or more of the following skill sets
  • Substantial Python experience
  • Previous success as an SI 330 or SI 618 student, or demonstrated success in a similar professional/academic context
    
    
    
     

Desired Qualifications*

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.
 

Background Screening

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 will be performed in compliance with the Fair Credit Reporting Act.
 

Contact Information

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

Decision Making Process

The application due date is July 26th. 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 August.

Selection Process

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.
 

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/AA Statement

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