| 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.
This is a pooled position. One or more applicants may be hired as needed to teach classes on a semester-by-semester basis. This posting is used for face to face and/or online instruction. However, the candidate selected for the position must reside in Michigan after acceptance of employment.
The anticipated start date of this position is August 2024 at the earliest and January 2025 at the latest. | |
| 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:
Education toward a doctorate in the data science area
Experience in computing competitions including creating challenges
Building integrated dashboards with any of the following tools: SQL Server, PowerBI, Tableau, Python/Machine Learning, AWS, Azure.
Security clearance (current or recently expired)
Experience abroad
Certifications complementary to work experience or potential teaching assignments
| |
| 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.
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.
Faculty members also have professional responsibilities which may include but are not limited to: keeping regular posted office hours (which are scheduled times convenient for students), and participation in traditional functions which have academic significance (ex .reporting initial student participation data and submitting final grades on time). Faculty may be required to teach off-campus or in an on-line environment.
Demonstrates an understanding of diversity, equity, and inclusion, especially in working relationships with students, faculty, staff and community members.
Any other duties assigned within the position classification area. | |
| Marginal Duties/Responsibilities: |
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