Very Large Information Systems Lecture & Lab – 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 an adjunct faculty member to teach the Very Large Information Systems Lecture & Lab course in person at its Phoenix campus during the Spring 2027 semester, January 4 through April 23, 2027. The course introduces modern machine-learning theories and design and implementation models for large-scale quantitative, image, and text information systems. Topics include information retrieval methods such as Boolean, vector space, probabilistic, inference net, and language modeling; clustering; automatic text categorization; experimental evaluation; supervised and unsupervised learning; text summarization; topic detection; tagging; and tracking. The laboratory reinforces lecture principles through hands-on work implementing techniques for managing and manipulating very large datasets and building machine-learning models. Adjunct faculty teach part-time, face-to-face courses at the Phoenix campus. The role includes facilitating lectures and discussions, engaging students with course objectives and topics, assessing performance and mentoring student success, and modeling support for the University's Doctrinal Statement, Ethical Position Statement, and mission.

Requirements

Minimum: Bachelor's degree in Statistics or a closely related field.
At least 5 years of experience in Big Data Analytics or Data Science.
Proficiency in Python programming, with emphasis on pandas, numpy, matplotlib, scikit, and tensorflow.
Before submitting an application, attach an unofficial transcript reflecting the degree earned and 18 graduate credit hours in the listed areas, along with unofficial transcripts for any applicable conferred graduate degrees.

Nice To Haves

Preferred: Master's degree in Computer Science, Statistics, or a closely related field.
Experience in Big Data Analytics or Data Science with proficiency in Python.

Responsibilities

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