Reinforcement Learning Adjunct Faculty - 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 Spring 2027 Semester (01/04/2027 - 04/23/2027)

Course: Reinforcement Learning

This course covers the fundamentals of reinforcement learning and how it can be applied to decision-making problems. Students learn to implement and evaluate reinforcement learning algorithms.

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

Qualifications:

• Master's in Science in Computer Science or Master's in Statistics or closely related degree AND proficiency in AI theorical concepts and Python
• -OR-
  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 transcripts for any applicable conferred graduate degrees

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