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

Grand Canyon University Inc.; Phoenix (AZ); On-site; USD 3,000 - 7,000; Part time

Benefits offered by this job

Tuition benefits for adjuncts

401(k)

Employee Perks and Discounts

Gym and Fitness Center

Canyon Health & Wellness Center

Job summary

Grand Canyon University in Phoenix invites applications for an adjunct faculty position to teach Reinforcement Learning in the College of Engineering and Technology. The role involves in-person, on-campus instruction for Spring 2027 and engagement with students to meet course objectives.

Qualified candidates hold a relevant advanced degree (Master’s or Bachelor with AI credits) and demonstrate proficiency in AI concepts and Python.

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.

Responsibilities

• 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.

Skills

Python programming

AI concepts

Education

Master's in Computer Science or Statistics (or related)

Bachelor in Computer Science or Statistics (or related)

18 graduate credits in AI

Job description

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.

GCU's Christian worldview has shaped the university's mission and growth for more than 65 years. As a Christ-centered higher education institution, GCU integrates faith, learning and work to connect the GCU community with distinct Christian principles and strong central values.

The University values diversity among its students, faculty and staff, and invites applications from all qualified individuals, including minorities, females, individuals with disabilities and veterans.

At GCU, working professionals may find their purpose in ways marked by compassion, service, integrity and concern for the common good.

Employment is contingent upon the satisfactory outcome (as determined by the university) of pre-employment screening activities, including a background check.

All staff and faculty candidates will be asked to review GCU's Staff or Faculty expectations as part of the application process.

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