Job Information
Grand Canyon University Data Mining and Machine Learning - Adjunct Faculty - Traditional Campus - (Fall 2025) - College of Engineering and Technology job in Phoenix, AZ with Grand Canyon University Phoenix, Arizona
Data Mining and Machine Learning - Adjunct Faculty - Traditional Campus - (Fall 2025) - College of Engineering and Technology job in Phoenix, AZ with Grand Canyon University
Search All Jobs
Careers Home
Faculty Jobs
Staff Jobs
Admissions/Counseling Jobs
Student Worker Jobs
All Jobs
Careers Home
Career Paths
Faculty Jobs
Staff Jobs
Admissions/Counseling Jobs
Student Worker Jobs
Graduate Assistant Opportunities
Return to GCU Home (https://www.gcu.edu/)
Data Mining and Machine Learning - Adjunct Faculty - Traditional Campus - (Fall 2025) - College of Engineering and Technology
Click Here to
Apply Online
Job Description
Make a Difference at Grand Canyon University
The College of Engineering and Technology (https://www.gcu.edu/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 2025 Semester (09/02/2025 - 12/14/2025)
Course: Data Mining and Machine Learning
This course covers the principles and techniques of data mining and machine learning. Students learn to apply algorithms and models to large datasets and evaluate their performance.
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
#gcu #highered #faculty #AI #machinelearning #python
Application Instructions
Please click on the link below to apply for this position. A new window will open and direct you to apply at our corporate careers page. We look forward to hearing from you!
Apply Online (https://gcu.wd1.myworkdayjobs.com/GCU/job/AZ-Phoenix/Data-Mining-and-Machine-Learning---Adjunct-Faculty---Traditional-Campus----Fall-2025----College-of-Engineering-and-Technology_R000060030)
Click Here to
Apply Online
Share this Job
X
Share This Page
Data Mining and Machine Learning - Adjunct Faculty - Traditional Campus - (Fall 2025) - College of Engineering and Technology
Share link. Copy this URL:
Phoenix, AZ (https://maps.google.com/maps?q=- Phoenix, AZ, 85001)
Posted: 3/20/2025
Job Status: Part Time
Job Reference #: R000060030