Adjunct Faculty, Information Sciences and Technology | George Mason University at George Mason [...]

George Mason University; Fairfax (VA); On-site; USD 25,000 - 45,000; Part time

Job summary

George Mason University is seeking an Adjunct Faculty member in Information Sciences and Technology to teach IT courses across graduate and undergraduate levels. Courses may be offered face‑to‑face, hybrid, or online at Fairfax and other GMU campuses.

The ideal candidate will hold a PhD or master’s degree with 18 graduate IT credits, have practitioner experience, and be proficient with a learning management system (preferably Blackboard).

Qualifications

• PhD or master’s degree with 18 graduate credits in an IT‑related discipline.
• Relevant practitioner‑related experience.
• Experience with a learning management system, preferably Blackboard.

Responsibilities

• Teach one or more IT courses in graduate and undergraduate levels.
• Courses may be offered face‑to‑face, hybrid, or online formats.
• Available campuses include Fairfax, Arlington, and Loudoun.

Skills

Verbal & written communication

Education

PhD or Master’s degree with 18 graduate credits in IT

Tools

Blackboard LMS

Job description

Adjunct Faculty, Information Sciences and Technology

Department: College of Engineering and Computing

Job Category: Adjunct Faculty

Job Type: Part-Time

Location: Fairfax, Science and Technology (formerly Prince William), Arlington, and Loudoun campuses

Salary: Salary commensurate with education and experience

Criminal Background Check: Yes

About the Department

The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research in cybersecurity, data mining, machine learning, natural language processing, human-centered computing, and computing and engineering education. It offers the ABET‑accredited BS in Information Technology serving more than 2,000 undergraduates and graduate programs.

Responsibilities

Adjunct Faculty teach one or more IT courses in the following areas. Courses may be offered in face‑to‑face, hybrid, or online formats on weekdays, evenings, and weekends at the specified campuses.

• Graduate
  • Big Data Analytics
  • Natural Language Processing
  • Machine Learning
  • Data Mining
  • Cybersecurity
  • Cyber‑Human Systems
• Undergraduate
  • Databases
  • Health Information Technology
  • Cybersecurity
  • Networking and Telecommunication
  • Programming
  • Web Application Development
  • Cloud Computing

Required Qualifications

• PhD or master’s degree with 18 graduate credits in an IT‑related discipline;
• Relevant practitioner‑related experience;
• Experience with a learning management system, preferably Blackboard;
• Solid verbal and written communication skills.

Preferred Qualifications

• Terminal degree in an IT‑related discipline;
• Relevant professional experience;
• Teaching experience at the university level;
• Willingness and enthusiasm to participate in curriculum development, evaluation, and decision making of assigned courses with the Course Coordinator;
• Willingness to participate in department activities such as faculty meetings.

Application Dates

Posting Open Date: October 23, 2023

For Full Consideration, Apply By: August 30, 2024

Open Until Filled: Yes