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How to Apply

Prospective GSIs are encouraged to attend a GSI forum that is held each term as the first step in the process. This mechanism will ensure that SEAS students are familiar with the application and selection processes and expectations. SEAS students are encouraged to contact faculty with whom they are interested in teaching.

NOTE:  ONLY ACTIVE SEAS STUDENTS WHO ARE ALSO IN GOOD STANDING* ARE ELIGIBLE TO APPLY.

Please submit the following application materials as one .PDF document to M-Box by copying and pasting this link:  https://goo.gl/DzCxp5 into your browser.

  1. A cover letter addressing your interest and qualifications for the position
  2. A resume or curriculum vita
  3. Copy of your undergraduate and graduate transcripts (unofficial is fine)
  4. Teaching history (list course and department)
  5. Teaching evaluations (if available)

Name the .PDF file as follows:  lastname.firstname.course number.  For example:  Doe.John.EAS517.

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 discussion times as posted.

* An active SEAS student who is also in good standing:

  • is currently enrolled in a SEAS degree program
  • has a cumulative grade point average of 3.0 or higher
  • has not completed all of the required credits towards their SEAS MLA, MS, or PhD degree
  • is making satisfactory progress toward completing all of their SEAS degree requirements in a timely manner (i.e., SEAS MS students' time limit is 2 years, SEAS MLA and dual degree students' time limit is 3 years, SEAS PhD students' time limit is 5 years); including approved extensions.

Course Description

Prerequisites:  NRE 538 or equivalent

Course Credits:  4

This course addresses basic statistics and statistical inference with examples from a wide range of natural resource subjects. The course will focus on classic statistical tests (hypothesis testing, t-tests, analysis of variance, correlation, and simple linear regresion) but we will also cover descriptive statistics, probability, sampling techniques, experimental design, graphing data, and non-parametric statistics. A weekly lab will focus on collecting data and completing analyses with the open source statistical package R.

Responsibilities*

Course includes three hours of lecture and four 2-hour lab sessions each week. The GSI is responsible for instructing two labs per week, attending lectures, holding office hours, answering student e-mails, reviewing and grading lab problem sets, giving guidance for the final independent project, and helping grade exams. If desired, the GSI may also teach select lectures.

Number of Positions:  2 GSIs @ 50%

Required Qualifications*

Successful completion of an introductory course in statistics that uses R. SEAS graduate student in good standing.*

* An active SEAS student who is also in good standing:

  • is currently enrolled in a SEAS degree program
  • has a cumulative grade point average of 3.0 or higher
  • has not completed all of the required credits towards their SEAS MLA, MS, or PhD degree
  • is making satisfactory progress toward completing all of their SEAS degree requirements in a timely manner (i.e., SEAS MS students' time limit is 2 years, SEAS MLA and dual degree students' time limit is 3 years, SEAS PhD students' time limit is 5 years); including approved extensions.

Desired Qualifications*

Strong proficiency with R; experience with data collection and analysis; some teaching experience.

Contact Information

SEAS-financial-aid@umich.edu

734/763-4572

Decision Making Process

The Associate Dean or his/her designate reviews GSI assignments based on instructor and student preferences. Faculty preferences are heavily weighted in the GSI selection process in order to satisfy course needs. If the matching process changes the rank of the students being selected (especially for courses with multiple GSIs), then the instructor for the course is consulted about these changes. After this, a final review of allocations is made by the Associate Dean.

Successful applicants will be notified by the Financial Aid Coordinator within four to six weeks of the application deadline.  At the beginning of the following term, SEAS will send out an e-mail providing statistics on the completed application cycle.  Applicants may contact SEAS-financial-aid@umich.edu to request feedback on their unsuccessful application.

Selection Process

Instructors have access to their position description and selection criteria along with the applications for their course(s). Instructors review their applications and rank the candidates for each position. In addition to ranking the qualified applicants, instructors may identify applicants as unqualified for the position.

GEO Contract Information

The University will not discriminate against any applicant for employment because of race, creed, color, religion, national origin, ancestry, marital status, familial status, parental status or pregnancy status, sex, gender identity or expression, 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, 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 of Institutional Equity may be found at hr.umich.edu/oie/contact.html and for the University Ombuds at www.umich.edu/~ombuds/.

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 his or her preferred assignment, he or she 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.

U-M EEO/AA Statement

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