Faculty, Artificial Intelligence (Bachelor's Program) Job at Miami Dade College, Miami, FL

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  • Miami Dade College
  • Miami, FL

Job Description

Job Title: Faculty, Artificial Intelligence (Bachelor's Program)

Location: Kendall Campus

Regular/Temporary: Regular

Full/Part Time: Full-Time

Job ID: 1007149
Job Details

Job Family

FAC - Faculty

Grade

N/A

Salary

$51,722 - $63,466 (Based on Education and Experience)

Department

Technology

Reports To

Department Chairperson

Closing Date

Open Until Filled

FLSA Status

Exempt - Not Eligible for Overtime Compensation

First Review Date

July 09, 2024

Job Summary

The faculty member teaches courses in Artificial Intelligence within the Bachelor's program. This is a full-time Faculty (FAC) position for which an annual contract reflecting the base salary within the fiscal year (July 1st to June 30th) will be issued after ratification by Miami Dade College’s District Board of Trustees.

Duties & Responsibilities
  • Teaches lecture and laboratory sections
  • Evaluates students and performs career and academic advising
  • Plans and organizes instructional materials to meet course objectives
  • Develops and teaches online courses
  • Teaches Dual Enrollment classes
  • Recruits, advises and evaluates students
  • Prepares and writes grants for the School of Engineering and Technology
  • Teaches information systems technology courses college wide
  • Participates in a variety of departmental, campus and college-wide programs, activities and committees
  • Serves as a resource person for adjunct faculty
  • Teaches day, evening and weekend classes as needed
  • Performs other duties as assigned
Minimum Requirements
  • Doctorate or Master’s degree in Artificial Intelligence, Computer Science, Machine Learning or related field (e.g., Information Technology, Computer or Software Engineering, Electrical Engineering); or Doctorate or Master’s degree and 18 graduate semester hours in Artificial Intelligence, Computer Science, Machine Learning or related field (e.g., Information Technology, Computer or Software Engineering, Electrical Engineering)
  • Flexibility to teach off site with industry partners
  • Abilty to work mornings, evenings, and weekends
  • Ability to provide both theoretical and hands on instruction in the classroom
  • Must possess excellent communication skills
  • Must be able to work well in a multi-ethic and multi-cultural environment with students, faculty, staff and the community
  • Must be able to function well in a technological environment
  • Start date for this Faculty position is scheduled on or before August 17, 2023
  • Doctoral stipend awarded in addition to base salary, as applicable
Preferences
  • Ph.D. in field preferred
  • Two (2) years related industrial experience a plus
  • Two (2) years college teaching experience desirable
  • Previous curriculum development and recruitment experience a plus
Additional Requirements

The final candidate is to successfully complete a background screening and reference check process.

Job Tags

Full time, Contract work, Temporary work, Part time, Weekend work, Day shift, Afternoon shift,

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