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The University of Michigan is seeking a student assistant to help build a grading pipeline for assignments using machine learning, assist in preparing instructional materials, and help prepare, administer, and grade examinations. This position supports data science education and may involve teaching in instructor absence.
Hybrid or remote work may be possible at the department's discretion. Ideal candidates are undergraduate students in good academic standing or non-UM students with a relevant
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A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. In particular, it should discuss your availability during class time: Tuesday/Thursday 9am-10:30am, ability to write scripts that automate certain grading tasks (or willingness to learn).
*IAs are not expected to hold regular office hours.
This course builds and strengthens the mathematical foundations required to succeed in applied data science. The course will review fundamental concepts in probability and linear algebra and demonstrate how these concepts are applied to core approaches in data analysis.
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 .
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 checksare performed in compliance with the Fair Credit Reporting Act.
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.