Adjunct – Neural Networks and Deep Learning – Online – College of Engineering & Technology

Overview

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.

• 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.
• Facilitate classroom discussions and assess student performance to prepare students to be successful leaders in their chosen profession.
• Provide a positive example to students by supporting the University’s Doctrinal Statement, Ethical Position Statement and Mission of Grand Canyon University.

• Minimum:
  Doctorate in Computer Science, Data Science, Software Engineering, Bioinformatics, or related discipline.
• Exceptional Expertise:
  PhD in any field plus 12 graduate-level credits in machine learning or artificial intelligence with an emphasis in neural networks and minimum 2 years’ experience designing, researching, or developing algorithms and software applications for neural networks in Python; solid knowledge of neural networks and deep learning algorithms and applications. All candidates require proficiency with Python programming, with an emphasis on pandas, numpy, matplotlib, scikit, and tensor flow.

• 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.

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