How to Apply
All materials are to be combined into a single pdf document and uploaded as one document through the University of Michigan job application website. Applicants must include with this application the following materials:
1) A curriculum vitae and cover letter that clearly states courses and/or subdisciplines the applicant would be able to teach.
2) Copies of up to four teaching evaluations, preferably in courses in linguistics.
3) Applicants must arrange for two letters of recommendation. At least one of the recommendations should preferably comment on your teaching record. If letters of recommendation cannot be included as part of the single document uploaded through the UM job application website, have the letters of recommendation sent to [email protected].
Mission Statement
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
Job Summary
The Department of Linguistics in the College of Literature, Science and Arts at the University of Michigan is accepting applications, seeking to fill up to two (2) LEO Lecturer I positions to teach two (2) sections of LING 321. The hires will manage undergraduate instructional aides (IAs), grade, and lead lab sections for faculty-led lecturers for LING 321 at 50% effort and 25% effort, respectively. As an alternative, this may be a hire of one (1) LEO Lecturer I who can fulfill both sections of the LING 321 positions at a total of 75% effort, depending on section availability. All teaching is expected to be in-person.
Responsibilities*
- Attend all lectures and lab days for the course. Lab days are held at the same time as lecture, but are just for students to work and seek help. Note that both lecture and lab sessions are scheduled as in-person instruction.
- Hold at least 2 office hours each week.
- Manage IAs who are serving as graders and helpers in lab sessions
- Grade assignments, per lead faculty instruction.
- Meet weekly with the lead instructor, and respond promptly to emails.
Required Qualifications*
Must have an M.A. or PhD in Linguistics, or a closely related field, and demonstrated experience teaching linguistics at the college-level. Applications will be evaluated based upon each candidates expertise, successful performance in the classroom, and the needs of the department. Experience with interactive and engaged teaching strategies preferred.
Course Description
LING 321: Alien Anatomy: How ChatGPT Works: Two (2) sections (anticipated total enrollment: 160 students)
Students will learn about the basic AI and machine learning techniques that make up UM ChatGPT, such as neural networks, back propagation, transformers, training, and guardrails. Students will build several AI projects, including a chatbot, image recognizer, and gesture recognizer. Readings and discussions will explore the limitations, regulation, and comparisons with humans to ChatGPT and similar LLM technologies.
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.
Additional Information
Lecturer Compensation
50.00% to teach one section of LING 321
25.00% to teach one section of LING 321
Additional Information
The University of Michigan is an equal opportunity employer.
Union Affiliation
This position is covered under the collective bargaining agreement between the U-M and the Lecturers Employee Organization, AFL-CIO, which contains and settles all matters with respect to wages, benefits, hours and other terms and conditions of employment.
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 will be performed in compliance with the Fair Credit Reporting Act.
Contact Information
Contact information: For questions, please email [email protected]
U-M EEO Statement
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.