Adjunct Faculty - AI in Games and Simulations Lecture & Lab – Traditional Campus - (Spring 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 Spring 2026 Semester (01/05/2026 - 04/26/2026)
Course: AI in Games and Simulations Lecture & Lab
The course introduces basic concepts of AI in the gaming context such as finite state machines, fuzzy logic, architectures, planning, and search. Students will work with implementations of common game AI algorithms for behaviors such as path finding, behavior selection, and learning. The laboratory reinforces and expands learning of principles introduced in the lecture. Hands-on activities focus on implementing algorithms for flocking, A* path finding, decision trees, and deterministic finite state machines.
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: Bachelors in Computer Science or closely related field and 4-5 years of experience developing AI and Machine Learning algorithms and Unity 3D.
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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