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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 #252873
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.
*Having trouble uploading your document?
The most common cause of upload and display issues can be attributed to an unsupported operating system or internet browser. Internet Explorer is the browser of choice when using the site, however, if one browser doesn't seem to be working properly, switch to a different browser and/or clear your cache and cookies.
Double check your document type. The system accepts resumes/cover letters created in a .DOC, .DOCX, .PDF, .TXT .HTML or .RTF. Uploading your resume/cover letter as a Microsoft Word document is the recommended format. File names are limited to 35 characters or less and cannot contain punctuation marks or special characters.
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.
Unsuccessful applications will be retained for consideration in the event that there are last minute openings for available positions. Upon request, any applicant denied employment will receive, within fourteen (14) calendar days, a written explanation of the reasons for denial of employment, and/or an in-person interview with the hiring agent(s) to be scheduled at a mutually agreed upon time. In the event 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 agent(s) to be scheduled at a mutually agreed upon time.
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/601.38, and its relation to your employment can be found in MOU X of your employment contract.
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.
The Office of Institutional Equity can be reached by phone at 734-763-0235 (V) or 734-647-1388 (TTY) or by emailing [emailprotected]. The Ombudsman?s Office can be reached by phone at 734-763-3545 or by emailing [emailprotected].
Course Description
UNIVERSITY OF MICHIGAN SCHOOL OF INFORMATION (UMSI)
FALL 2024 GRADUATE STUDENT INSTRUCTOR POSITION(S) AVAILABLE
AVAILABLE JOB POSTING: FOR A UM MASTER'S STUDENT
COURSE: SI 650 - Information Retrieval
COURSE SCHEDULE:
Lecture, Wednesday 9:00 AM to 11:00 AM
Discussion, Wednesday, 4:00 PM to 5:00 PM
Discussion, Wednesday, 5:00 PM to 6:00 PM
Discussion, Wednesday, 6:00 PM to 7:00 PM
Discussion, Wednesday, 4:00 PM to 5:00 PM
Number of available GSI positions:
Up to 2 positions at .50 fraction, pending enrollment
Number of PhD Students assigned as part of funding package:
1 students assigned to this course as part of funding package
A .50 fraction GSI position offers a monthly stipend, tuition waiver, and health insurance. The expected work commitment is roughly 20 hours per week. This appointment runs from August 26 through December 31, 2024 (from an employment/health benefit perspective). There could be prep time before the employment start date and all work for this course will be completed by the end of December (or slightly earlier). All of the work hour details will be spelled out in the fraction calculation form for the person hired for this position. At the time of application, please include your availability for teaching all currently scheduled sections so that all GSI assignments can be made with everyone's availability in hand. This information can be included in your cover letter.
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; past experience (courses, projects) that are closely related to the course content (preferably taking SI650 or a similar course); experience teaching programming and technology skills to intermediate graduate students.
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 do not contact the faculty member who is teaching the course. Any questions should be directed to [emailprotected].
Decision Making Process
The application due date is August 20, 2024. 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 September.
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. The applicant should demonstrate in their application materials their past experience (courses taken, projects and papers produced) that relate to the course content. Applicants who took (and were successful) at SI650 or similar courses will be preferred.
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.
