W26_GSI_CEE 575

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How to Apply

Please include a cover letter as the first page of your curriculum vitae; only one pdf file can be uploaded in the system. The review of applications will begin after the 14-day posting.
In addition to applying via the University of Michigan Careers website, applicants should complete the following steps:


Graduate Student Instructor positions are only open to current or matriculating University of Michigan graduate students. 

Course Description

CEE575: Sensors & Data
This course addresses the emergence of sensors and ?smart? systems. We will learn how sensors,
internet-connected devices and real-time data are being used to build ?smart? cities, smart homes,
robots, and a new generation of scientific experiments.


We?ll discuss sensor physics to show how physical processes can be measured through electrical
signals and converted to digital information. We?ll also cover theory behind leading sensing
technologies and data acquisition systems. Large-scale wireless sensor networks will be covered,
and we?ll talk about data can be transmitted to the Internet. We will also learn about signal processing
and practical machine learning methods (time permitting) to analyze and act upon data collected by
sensor networks.

Responsibilities*

This is a 50% GSI position. The anticipated workload is 20 hours per week. The GSI will work closely
with the instructor on all facets of the course to help meet student needs. Duties include but are not
limited to the following: facilitate weekly class meetings, collaborate with instructor to support the
creation of course materials, prepare and deliver some lessons, support students with sensor
activates, hold weekly office hours, assist with grading of homework and projects, and communicate
with instructor regularly.

Required Qualifications*

  • Graduate student in good standing in the University
  • Proficiency in wireless sensor network and IoT
  • Coding experience in Python and embedded code
  • All applicants must be graduate students enrolled at the University of Michigan in good academic standing. Students whose undergraduate degree is from an institution where the language of instruction is not English must have already taken or be currently enrolled in the English Language Institute's ELI 994. The student must have a passing score of 4 on the Oral English Test (OET).

Desired Qualifications*

  • Graduate level understand in sensing, data, and AI argents
  • Proficiency with embedded systems and hardware

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.

Contact Information

Contact Crista Deneau ([email protected]) with any questions related to your application.

Decision Making Process

All applications will be forwarded to the Division Lead and the Cognizant Faculty member of the course. The faculty will make a hiring recommendation to the department and a department administrator will then authorize the appointment paperwork.

Selection Process

All applications will be forwarded to the cognizant faculty of the course. The instructor will make a hiring recommendation to the department and a department administrator will then authorize the appointment paperwork.

Selection Criteria will include:
- Relevant academic preparation for teaching the course material
- Relevance to graduate training


Unsuccessful applications will be retained for consideration in the event that there are last minute openings for available positions.


The posting will be open until 12/23/25 days. We will move quickly with filling this position in order to successfully hire the position prior to the holiday break.


Applicants may request the status of their application from the appointing unit. 
 

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 Statement

The University of Michigan is an equal employment opportunity employer.