How to Apply
Please upload the following application materials to Interfolio at http://apply.interfolio.com/153599.
- A cover letter that explains why the position is of interest to you
- Statement of teaching philosophy and experience
- DEI statement that demonstrates your commitment to diversity, equity, and inclusion through teaching
- Curriculum vitae
- Evidence of teaching excellence (e.g. sample syllabi, course evaluations)
- The name, title, and email address of three (3) scholars who can be contacted for a letter of recommendation.
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 three introductory courses. For more information about our courses, please check here: https://lsa.umich.edu/computingfor/undergraduates/course-offerings.html
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.
Who We Are
The Program in Computing for the Arts and Sciences (PCAS) is an 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, design, and employ computational methods and digital tools both effectively and critically.
About our COMPFOR classes:
COMPFOR is short for COMPuting FOR. The COMPFOR classes prepare students to use computing in their studies in humanities, social sciences, and natural sciences. COMPFOR 111 and 121 introduce programming 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 221 is an introduction to programming Python using Collaboratory Notebooks to implement text, sound, image, and video filters.
Responsibilities*
The Lecturer will teach three introductory courses in a studio-style 90-minute combined lecture and lab session twice per week, hold office hours, supervise 2-4 instructional assistants for each course, and handle routine matters related to instruction.
Required Qualifications*
The successful candidate will have a graduate degree in any field in the liberal arts or sciences, computer science, information, or STEM education, and an extensive background in computing and programming for the humanities 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 in computing, digital media, and digital studies 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.
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
For questions about how to apply for the position, please contact [email protected]
Decision Making Process
The deadline to submit an application is October 8, 2024. Review of applications will begin immediately and continue until the position is filled. The anticipated date by which an offer will be made is no later than December 5, 2024. The appointment opportunity described in this posting is subject to final approval by the academic unit.
Selection Process
Applications are reviewed, and decisions made, based on each applicant's knowledge, experience, and past teaching record. Preferential consideration will be given to applicants with:
- relevant graduate degree, with extensive computing background
- college/university-level teaching experience
- demonstrated expertise in subject matter
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.
