Artificial Intelligence Residential Faculty

Job Details

Artificial Intelligence Residential Faculty

Job :321758
Location:Chandler-Gilbert Comm College
Full/Part Time:Full Time
Regular/Temporary:Regular

Hiring Salary Range

$51,774 – $99,673 /annually DOE

Grade

001

Work Calendar

9 Months

The Maricopa County Community College District is one of the largest community college systems in the nation. This district-funded position is projected to transition into a permanent, full-time faculty role after August 2028. The selected candidate will develop and teach Bachelor-level AIM courses in multiple instructional modalities, support and mentor adjunct and dual enrollment faculty, apply active learning strategies and instructional technologies, provide leadership on division and college initiatives, serve on college and district committees, co-chair an industry advisory council, and engage in ongoing professional development to advance innovation in AI and Machine Learning education through this Bachelor’s degree program.

• Supervises and instructs a population of students, including students in high school bridge programs, in a classroom and/or lab setting, online or hybrid, accelerated, and/or other alternative schedules and formats; uses active learning strategies to engage students in learning and promotes student success; facilitates student learning, retention, and achievement; incorporates instructional technology and employs alternative delivery or scheduling techniques where appropriate.
• Develops instructional materials and curriculum; develops written syllabi/course outlines and course materials; assesses and evaluates knowledge of subject matter taught and monitors students’ scholastic records; prepares and grades examinations or other learning activities; participates in division and college assessment and program review processes; uses assessment and evaluation results to improve instruction and student learning.
• Maintains office hours to assist, tutor, and advise students to promote learning, citizenship, and personal development; works with students outside of the classroom on instructional activities and projects; provides leadership for STEM programs and activities; develops and cultivates relationships with high school and university institutions to develop and promote transfer pathways for students; cultivates relationships with business and industry to identify new programs and work skills and develops internship and co-op opportunities.
  
  Performs dual enrollment supervision and faculty observations as required.
• Remains current with new trends and developments in the field through technology, research, reading/studying the literature, attendance at conferences, courses, seminars and/or workshops; develops and enhances knowledge of teaching and learning; participates in college and district activities, including department/division meetings, committees, workshops and projects; contributes to the academic life and mission of the college; demonstrates intercultural competence in interactions with students, staff, and the community;
  
  maintains a team approach in collaborating with faculty, staff, and students.

Minimum Qualifications

A graduate degree is required. A faculty may qualify with any of the following:

Master’s degree or higher in the teaching field OR Master’s degree or higher in any field with 18 graduate credit hours

The following disciplines meet the requirements to teach in this field: A Master’s Degree or higher is required in one of the following fields:
Mathematics, Applied Mathematics, Computational Mathematics, Statistics, Computer Science, Computer Engineering, Software Development, Engineering, Artificial Intelligence, Machine Learning, Robotics, Data Analysis, Data Science, Computer Systems Engineering, Computer Systems Analysis OR A Master’s Degree in any field with 18 graduate-level credits in these prefixes/subjects:
Computer Science, Computer Engineering, Software Development, Artificial Intelligence, Machine Learning, Robotics, Data Analyst, Data Science OR A Master’s Degree in any field with 18 graduate-level credits in courses with these  (NLP), Computer Vision, Neural Networks, Robotics,…