Adjunct Faculty, Information Sciences and Technology

Department: Col of Engineering and Computing

Job Category: Adjunct Faculty

Job Type: Part-Time

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

Workplace Type: On-site, Hybrid and/or Remote Eligible

Salary: Salary commensurate with education and experience

Criminal Background Check: Yes

Adjunct Faculty teach one or more IT courses in the following areas (current syllabi are available at (Use the "Apply for this Job" box below).):

• Graduate
  • Big Data Analytics
  • Natural Language Processing
  • Machine Learning
  • Data Mining
  • Cybersecurity
  • Cyber-Human Systems
  • Artificial Intelligence
• Undergraduate
  • Databases
  • Cybersecurity
  • Networking and Telecommunication
  • Programming
  • Web Application Development
  • Cloud Computing
  • Artificial Intelligence

Courses are offered in the daytime, evening, and on weekends at the Fairfax, Science and Technology (formerly Prince William), Arlington, and Loudoun campuses. Courses may be offered in several formats: face-to-face, hybrid, and online.

• 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.

• 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.