Job Title
LEO Lecturer I
Job ID
275011
Location
Ann Arbor Campus
City
Ann Arbor
State
MI
Regular/Temporary
Regular
Full/Part Time
Full-Time
Modes of Work
Onsite
Job Title
LEO Lecturer I
Appointing Department
LSA Comp for Art Sci
Posting Begin Date
03/16/2026
Posting End Date
04/10/2026
Date Closed
 
FLSA Status
Exempt

How to Apply

 

In addition to applying via careers.umich.edu, please upload the following application materials to Interfolio: https://apply.interfolio.com/183136

  • A cover letter that explains why the position is of interest to you and how your strengths match our curriculum. We are particularly interested in candidates who can teach our courses in Expression, Justice, and Artificial Intelligence.
  • Curriculum vitae
  • Statement of teaching philosophy and experience
  • Evidence of teaching excellence (e.g. sample syllabi, course evaluations)
  • Provide the name, title, email, and institutional affiliation of three individuals who will send confidential recommendations to pcas.recruit@umich.edu by April 10, 2026, directly from the addresses you supply.

Job Summary

 

The Program in Computing for the Arts and Sciences in the College of Literature, Science, and the Arts at the University of Michigan seeks applicants for a full time Lecturer I position to teach sections of three introductory courses (100% effort). For more information about our courses, please check here: https://lsa.umich.edu/computingfor/undergraduates/course-offerings.html This is a non-tenure track position.

About the Program in Computing for the Arts and Sciences - The Program in Computing for the Arts and Sciences (PCAS) is a novel interdisciplinary program in computing education developed specifically to meet the wide range of needs of undergraduate students in the College of Literature, Science, and the Arts (LSA).  PCAS is coordinating and expanding the teaching of computational methods and digital studies across the arts and sciences.  We are working toward a future in which every LSA student feels confident in their abilities to understand, critique, design, and employ computational methods and digital tools both effectively and critically. Our classes are organized around the themes of computing for discovery, expression, and justice

About COMPFOR courses -- COMPFOR is short for COMPuting FOR.  COMPFOR courses prepare students to understand and use computing in their studies in humanities, social sciences, and natural sciences. Sections would likely be from one of these four courses in our expression and justice themes. COMPFOR 111 introduces programming and computing's impact on social justice in a scaffolded process of using teaspoon languages, writing programs in the Snap! programming language (https://snap.berkeley.edu/), and learning to transfer their knowledge to industry standard notations like Python, Processing, and HTML. COMPFOR 121 introduces programming in the context of creative expression. Students build image and sound filters, drawing programs, interactive Web pages, chatbots, and side-scroller video games using Snap!. COMPFOR 221 explores digital media in Python where students generate and manipulate images, sounds, and video. COMPFOR 250 introduces students from across LSA to artificial intelligence and how large language models (LLMs) work. Students create image and gesture recognizers, chatbots based on both procedural rules and learning from a text corpus, and build classifiers with neural networks with scaffolded tools and programming environments.

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.

Responsibilities*

 

Teach three sections of introductory courses in a studio-style 90-minute combined lecture and lab session twice per week, hold office hours, and supervise GSIs and instructional assistants for the courses. 

Required Qualifications*

 

The successful candidate will have a graduate degree in any field in the liberal arts or sciences, computer science or information, or STEM education, and an extensive background in computing and programming for liberal arts and sciences. Teaching experience at the college/university level is required.  Applicants will be selected based upon demonstrated subject matter expertise, demonstrated excellence in teaching, and program needs.

Desired Qualifications*

 

At least two years of experience teaching courses involving computing at college/university level is preferred. 

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.

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 are performed in compliance with the Fair Credit Reporting Act.

Contact Information

 

Questions about applying for this position can be emailed to: pcas.recruit@umich.edu

Application Deadline

 

Review of applications will begin immediately and continue until the position is filled.  Deadline for applications is Friday, April 10, 11:59 pm.  The anticipated date by which an offer will be made is no later than Friday, April 24.  The appointment opportunity described in this posting is subject to final approval by the academic unit.

U-M EEO Statement

 

The University of Michigan is an equal employment opportunity employer.