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Adjunct Faculty - Computer Science 2026-27

Augsburg UniversityMinneapolis, MN

$6,100 - $6,475 / project

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Overview

Schedule
Part-time
Career level
Senior-level
Remote
On-site
Compensation
$6,100-$6,475/project
Benefits
401k Matching/Retirement Savings
Tuition/Education Assistance

Job Description

Company Description

Augsburg University has maintained a strong academic reputation defined by excellence in the liberal arts and professional studies since 1869. A welcoming campus in the heart of Minneapolis, Augsburg offers undergraduate and graduate degrees to nearly 3,200 diverse students.

Augsburg's mission is to educate students to be informed citizens, thoughtful stewards, critical thinkers, and responsible leaders. The Augsburg experience is supported by an engaged community that is committed to intentional diversity in its life and work. An Augsburg education is defined by excellence in the liberal arts and professional studies, guided by the faith and values of the Lutheran church, and shaped by its urban and global settings.

Augsburg invites individuals who share our mission and commitment to intentional diversity, equity, inclusion and belonging to join our community. Augsburg encourages BIPOC, LGBTQIA+, individuals with disabilities, women, veterans and those from underrepresented or marginalized backgrounds to apply.

Job Description

The Department of Mathematics, Statistics, and Computer Science at Augsburg University invites applications for adjunct faculty positions to teach introductory Computer Science courses. Responsibilities include teaching one or two sections of introductory courses and/or labs in Computer Science such as

  • Introduction to Computer Programming (Python)
  • Introduction to Object-Oriented Programming (Java)
  • Information Security and Assurance
  • Web Applications and Databases

This search will establish a "pool" of instructors for potential openings in Spring of 2027. Applications will be accepted through November 30, 2026.

Available courses vary by term. Most classes are held during the day, 2-3 days per week.

In addition to teaching the class and grading student work, instructors are expected to respond to student questions through email, hold regularly scheduled office hours, reach out to students with course progress information, and communicate regularly with the course coordinator. A course syllabus with calendar, textbook and homework selection, sample activities and exams, and shared office space are typically provided.

Most classes are taught in-person on our Minneapolis campus. Each fall or spring semester course requires approximately 12-15 hours/week for 15-16 weeks.

Compensation & Benefits

Subject to the collective bargaining agreement with SEIU, Local 284

  • $6,100 to $6,475 per undergraduate course* for the 2026-27 academic year
  • Eligible for 2-4% retirement contribution match
  • Tuition discount for employees and dependents
  • Transit pass discount
  • Not eligible for healthcare benefits
  • Course refers to a typical 4-credit undergraduate course that has met minimum enrollment requirements.

Please note that due to employment law and payroll regulations, we can only employ adjunct faculty who reside in Minnesota or Wisconsin. This restriction applies even to courses taught online.

Qualifications

MINIMUM QUALIFICATIONS:

  • Candidates should be committed to student engagement and student success with a diverse group of learners.
  • A Master's in Computer Science or a related field.

PREFERRED QUALIFICATIONS:

  • The ideal candidate will have some experience teaching at the post-secondary level or significant experience teaching at the secondary level.

Additional Information

For full consideration, candidates must submit the following information at the time of application:

  • Cover letter

  • Curriculum vita or Resume

  • Unofficial undergraduate and graduate transcripts

Your cover letter should

  • Highlight your experience or interest in teaching at the university level

  • Identify your general availability during the day and/or evenings; and

  • Indicate whether you are interested in in-person or synchronous online teaching (or either).

Augsburg is an equal opportunity employer and does not discriminate on the basis of gender, sexual orientation, marital status, gender identity, race, age, disability, religion, national origin, color, or any other protected class.

Augsburg University is an equal opportunity employer and does not discriminate on the basis of gender, sexual orientation, marital status, gender identity, race, age, disability, religion, national origin, color, or any other protected class.

If you need a reasonable accommodation to complete our application process, please contact our Human Resources Department at phone number: 612-330-1058 or email: hr@augsburg.edu.

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FAQs About Adjunct Faculty - Computer Science 2026-27 Jobs at Augsburg University

What is the work location for this position at Augsburg University?
This job at Augsburg University is located in Minneapolis, MN, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Augsburg University?
Candidates can expect pay range between $6,100–$6,475 for this role.
What employment applies to this position at Augsburg University?
Augsburg University lists this role as a Part-time position.
What experience level is required for this role at Augsburg University?
Augsburg University is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Augsburg University for this role?
Augsburg University offers following benefits: 401k Matching/Retirement Savings and Tuition/Education Assistance for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Augsburg University?
You can apply for this role at Augsburg University either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.