Graduate Student Instructor - SI 650 Fall 2023
- University of Michigan
- Location: Ann Arbor, Michigan
- Category: Faculty-Engineering-Other Engineering
- Posting Date: 07/20/2023
- Application Deadline: Open until filled
Job Description
How to Apply
Please indicate your interest by submitting a cover letter 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 # 236518
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 cover letter with information on availability, your resume, and any teaching evaluations*
7. Click "Submit" when you are finished.
Course Description
Information Retrieval --- Information is everywhere. We encounter it in our everyday lives in the form of E-mail, newspapers, television, the Web, and even in conversations with each other. Information is hidden in a variety of media: text, images, sounds, videos. While casual information consumers can simply enjoy its abundance and appreciate the existence of search engines that can help them find what they want, information professionals are responsible for building the underlying technology that search engines use. Building a search engine involves a lot more than indexing some documents -- information retrieval is the study of the interaction between users and large information environments. It covers concepts such as information need, documents and queries, indexing and searching, retrieval evaluation, multimedia and hypertext search, Web search, as well as bibliographical databases. In this course, students go over some classic concepts of information retrieval and then quickly jump to the current state of the art in the field, where crawlers, spiders, and hard-of-hearing personal butlers roam.
More information about this course can be found on U-M?s Course Catalog via Wolverine Access.
Responsibilities*
Assisting with course planning, leading a one-hour discussion section, attending and possibly giving some of the course lectures, having office hours and open lab times to meet with students, attending weekly staff meetings, and grading student assignments and exams. The duties also include working with the students to help them as they work with the programming assignments.
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.
Desired Qualifications*
Experience or interest in teaching; strong communication and analytical skills; experience teaching programming and technology skills to intermediate graduate students.
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 are 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 25, 2023. 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
Relevant academic preparation for teaching the course material including solid mastery of Python and statistics. Experience with deep learning libraries (especially pytorch) and previous work as a teacher in a programming oriented course at the graduate level will also be helpful. Provide an example of prior instructional/work experience; relevance to graduate training; student evaluations if applicable.
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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