Position Title: Adjunct Instructor 1 - Artificial Intelligence Location: Big Rapids (Main Campus) Department: 34200 - Accountancy Finance & Info Systems
Advertised Salary: Salary commensurate with qualifications pursuant to the FSU and FNTFO/AFT Agreement FLSA: Exempt Temporary/Continuing: Temporary Part-Time/Full-Time: Part-Time Union Group: Ferris Nontenure-Track Faculty Organization (FNTFO) (AFT) Term of Position: As Needed At Will/Just Cause: At Will Summary of Position: Part-time teaching and related responsibilities: utilizing face-to-face, blended and/or online modes of delivery; delivery on or off campus; assuring/improving learning through assessment; close consultation with program faculty, as well as training via the Faculty Center for Teaching and Learning. Position Type: Faculty - Temporary & Continuing Required Education: Master’s degree in Data Science, IT/IS Security/Intelligence or related field from an accredited college or university. Bachelor's degree in Data Analytics, Data Science, Information Security & Intelligence or similar field with emphasis in AI, data science or cybersecurity. Required Work Experience: Three years of industry experience or two years industry experience plus additional education beyond master's degree or certifications in cybersecurity, artificial intelligence or data science. Background sufficient to teach application in healthcare or cybersecurity content areas. Required Licenses and Certifications: A certification in the area the candidate will teach, which may include the following relevant security areas: information security; Information assurance; IT security; data mining and analysis; intelligence analysis; penetration testing; network security; visual/link analysis; digital forensics; secure application development; data base; risk assessment; fraud; ethics. Physical Demands: Office Environment Bending Sitting Standing Additional Education/Experiences to be Considered: Any combination of the following: Essential Duties/Responsibilities: Teaching assignment may include the following areas: machine learning; exploratory data analysis; feature engineering; information security; cyber competitions; special/emerging topics; data mining and analysis; business intelligence, GIS, penetration testing; visual/link analysis; python, secure application development; database management systems; ethics. Marginal Duties/Responsibilities:
