Part-Time Faculty, Computer Science & Software Engineering

Part‑Time Faculty, Computer Science & Software Engineering

Northern Arizona University

• This position is eligible for on‑site, hybrid, or remote work.
  • On‑site work requires the incumbent to complete their work primarily at an NAU site, campus, or facility with or without accommodation. Opportunities for remote work are rare.
  • Hybrid work allows the incumbent to complete their work at both an NAU site, campus, or facility and at a non‑centralized site with or without accommodation.
  • Remote work allows the incumbent to complete their work at a location other than an NAU site, campus, or facility with or without accommodation. The incumbent may occasionally work in a shared site, but primarily will work elsewhere.

The School of Informatics, Computing, and Cyber Systems (SICCS) is known for its student‑centered approach and strong emphasis on hands‑on learning and research. We offer a variety of undergraduate and graduate degrees, offered by approximately 60 faculty in the school, with roughly 1,200 undergraduate and 500 graduate students. The department fosters close faculty‑student interaction, with a focus on mentoring and collaborative research, partnering with local and national organizations to apply engineering solutions to real‑world problems, especially those relevant to Arizona and the Southwest.

Northern Arizona University seeks applicants for a part‑time faculty member in the School of Informatics, Computing, and Cyber Systems (SICCS). The position involves teaching, and service in computer science, computer systems engineering, with an emphasis in programming and software engineering.

The temporary faculty pool is continuously open, and positions are filled as needed, based on student enrollment and funding. The intent of the pool is to provide opportunities to our industry partners and community professionals to serve as NAU instructors of record as their skills and experience align with the needs of the college and its students.

The number of positions will vary from semester to semester and are temporary. These opportunities may arise on short notice. The pool will remain in place for one academic year (August
- May). If you are not interviewed/selected for a position within the current academic year and still wish to pursue employment in future semesters, a new application will be required. If at any time you are no longer interested in this position, please withdraw your application.

• Teach undergraduate and graduate courses in computer science and software engineering.

• Master’s degree in Computer Science, Software Engineering, Artificial Intelligence or a closely related discipline by the time of appointment; OR
• Bachelor’s in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, Artificial Intelligence or a closely related discipline, with 3 to 4 years of industry experience in the field.

* A combination of related education, experience, and training may be used as an equivalent to the above Minimum Qualifications.

• Ph.D. in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence or a closely related discipline by the time of appointment
• Demonstrated teaching courses at the university level.
• Experience with modern pedagogical practices and tools.
• Industry experience in software or systems engineering.
• Demonstrated experience working with people from all backgrounds.

• Excellent communication skills.
• Ability to work with individuals from diverse backgrounds.
• Course development.
• Ability to teach in computer science.

Anticipated compensation is $2,000 per credit unit. Commensurate with candidate’s qualifications and related experience.

Northern Arizona University requires satisfactory results for the following: a criminal background investigation, an employment history verification and a degree verification (in some cases) prior to employment. You may also be required to complete a fingerprint background check. Also, as an employer in the state of…