Adjunct – Predictive Modeling – Online – College of Engineering & Technology

Make a Difference at Grand Canyon University

Shape the bright futures of Grand Canyon University students as an online adjunct faculty member for the online division in the College of Engineering and Technology .  Through hands-on, inquiry-based learning, the college provides an outlet for innovation and cross-disciplinary exposure.

As an adjunct faculty member, you’ll provide program instruction in an online format, incorporating innovative teaching methodologies, cutting-edge technologies and other industry trends reflecting advancements in your discipline.  If you are highly motivated and passionate about teaching exceptional quality instruction, we’d like to hear from you. 

Responsibilities:

Responsibilities include equipping students with the required skill set, facilitating classroom discussions, assessing student performance and preparing students to be successful leaders in their chosen profession.  Other main responsibilities include the following:

• Provide a positive example to students by supporting the University’s Doctrinal Statement, Ethical Position Statement and Mission of Grand Canyon University.

Qualifications:

• Minimum: Doctorate in Statistics, Mathematics, Computer Science, Data Science, Electrical Engineering or related discipline. Exceptional Expertise: PhD in any field plus 12 graduate-level credits in predictive modeling. All candidates require proficiency with Python programming, with an emphasis on pandas, numpy, matplotlib, scikit, and tensorflow.

Before submitting your application please attach the following to review:

• Your unofficial transcripts for any applicable conferred graduate degrees.
• Any applicable licenses/certifications

Interested in GCU Faculty and Adjunct positions, but can’t find a position that’s right for you?

Submit your resume to our Faculty Jobs Talent Community to be considered for future opportunities.  Visit the Faculty Jobs page on the GCU Career Site and scroll down to join the Talent Community.