Adjunct - Machine Learning for Data Science - Cohort Traditional Campus - College of Science, Engineering and Technology
Make a Difference at Grand Canyon University
Shape the bright futures of Grand Canyon University students as a cohort adjunct faculty member for the College of Science, Engineering and Technology at [site location]. Through hands-on, inquiry-based learning, the college provides an outlet for innovation and cross-disciplinary exposure. It also features pre-professional degrees in biology, alongside our degrees in information systems, and a forensic science and exercise science program.
As an adjunct faculty member, you’ll provide program instruction 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 in modern facilities with smaller class sizes, we’d like to hear from you.
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.
- Minimum: Doctorate in Computer Science, Data Science, Software Engineering, or related discipline. Exceptional Expertise: PhD in any field plus 12 graduate-level credits in machine learning or artificial intelligence & Minimum 2 years’ experience designing, researching, or engaged in developing algorithms and software applications for machine learning or artificial intelligence in R and Python; solid knowledge of supervised, unsupervised, and reinforcement learning.
Before submitting your application please attach the following to review:
- Your unofficial transcripts for any applicable conferred graduate degrees.
- Any applicable licenses/certifications
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Job Status: Part Time
Job Reference #: R000046148