Reinforcement Learning– Adjunct Faculty – Traditional Campus (Spring 2027) – College of Engineering and Technology

Grand Canyon University•Phoenix, AZ

2d•Onsite

About The Position

Grand Canyon University's College of Engineering and Technology is hiring adjunct faculty to teach Reinforcement Learning at its Phoenix traditional campus during the Spring 2027 semester, January 4 through April 23, 2027. This is a part-time, face-to-face teaching opportunity. The course covers reinforcement learning fundamentals and their application to decision-making problems, including implementing and evaluating reinforcement learning algorithms. Faculty are expected to engage and mentor students and support their academic, spiritual, and personal growth.

Requirements

A master's degree in Computer Science, Statistics, or a closely related field, plus proficiency in AI theoretical concepts and Python; or a bachelor's degree in Computer Science, Statistics, or a closely related field, plus 18 graduate credits in AI.
Submit unofficial transcripts for any applicable conferred graduate degrees with the application.

Responsibilities

Facilitate classroom lectures and discussions.
Engage students in learning course objectives and topics.
Assess student performance and mentor student success in the classroom.
Serve as a positive example to students by supporting the University's Doctrinal Statement, Ethical Position Statement, and mission.