GSI Winter 2025 - Math 547
Job Description
How to Apply
Important: You can only submit one document with your application. Your uploaded application should be only a brief cover letter explaining your interest in and qualifications for the position and a CV. The name of the file you upload MUST contain your full name.
Course Description
Winter 2025
Graduate Student Instructor (GSI) for Math/Bioinf/Stats 547, Mathematics of Data
Background and Goals: This course covers topics in Mathematics of Data
Content: Content covered in the course includes linear algebra, multilinear algebra, dynamical systems, and information theory. The course will start with a basic introduction to data representation as vectors, matrices, and tensors. Then the course will move on to geometric methods for dimension reduction, also known as manifold learning, and topological data reduction. Using an application-based approach, the course will cover spectral graph theory, addressing the combinatorial meaning of eigenvalues and eigenvectors of their associated graph matrics and extensions to hypergraphs via tensors. The course will provide an introduction to the application of dynamical systems theory to data including dynamic mode decomposition. Real data examples will be given where possible, along with assistance writing code to implement these algoithms to solve these problems. The methods discussed in this class are shown primarily for biologocal data, but are useful in handling data across many fields. The course will also feature several guest lecturers from the industry and government.
Responsibilities*
This is a 50% GSI position. The anticipated workload is 16.5 to 20 hours per week. The GSI will work closely with the instructor on all facets of the course in order to help meet student needs. Duties include but are not limited to the following: collaborate with instructor to revise worksheets and homework, contribute exam problems and help edit exams, attend classes to help facilitate group work, prepare and deliver some lessons, hold three office hours per week, assist with grading of homework and exams, meet with instructor regularly, administrative tasks (copying, etc.)
Required Qualifications*
Desired Qualifications*
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
Please contact [email protected] with questions.
Decision Making Process
Candidate qualifications and interview.
Selection Process
Selection Criteria will include:
- Relevant academic preparation for teaching the course material
- Extent of prior instructional experience
- Relevance to graduate training
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.
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