Deep Learning – Adjunct Faculty – Traditional Campus - (Fall 2026) – College of Engineering and Technology

Make a Difference at Grand Canyon University

The College of Engineering and Technology employs faculty and faculty leaders who are passionate about engaging and mentoring students to best prepare them for the continuously changing worlds of IT and Engineering. Our faculty are energetic advisors who are committed to helping our students grow academically, spiritually, and personally. They are experts in their respective fields, in addition to being passionate educators and collaborators who help enhance the college experience for all students.

Join our mission in helping others find their purpose and start your instructor career with GCU. The College of Engineering and Technology offers rewarding opportunities for adjunct faculty to teach part-time, face-to-face instruction at our Phoenix campus. If you are highly motivated and passionate about teaching exceptional quality instruction in modern facilities with smaller class sizes, we’d like to hear from you.  

Why Work at GCU:

• Tuition benefits specifically for the adjunct employee
• 401(k)
• Employee Perks and Discounts
• Gym and Fitness Center
• Canyon Health & Wellness Center

GCU Traditional Campus – Phoenix, AZ:

• Courses are in-person and on-campus for the Fall 2026 Semester (09/08/2026 - 12/14/2026)

Course: Deep Learning

This course covers the theory and practice of deep learning, including neural networks, convolutional networks, and recurrent networks. Students learn to apply deep learning techniques to solve image, speech, and natural language processing problems. 

What You Will Do:

• Facilitate classroom lecture and discussions
• Engage students in learning course objectives and topics
• Assess student performance and mentor success in the classroom
• Provide a positive example to students by supporting the University’s Doctrinal Statement, Ethical Position Statement, and Mission of Grand Canyon University

What You Will Bring:

• Preferred: Master's in Science in Computer Science OR Master's in Statistics or closely related degree AND proficiency in AI theoretical concepts and Python.
• Minimum: Bachelor in Computer Science or Bachelor in Statistics or closely related degree AND 18 graduate credits in AI.

Before submitting your application, please attach the following to review:

• Your unofficial transcript reflecting degree earned with 18 graduate credit hours in the areas listed above
• Your unofficial transcripts for any applicable conferred graduate degrees

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