Adjunct Faculty, Information Sciences and Technology

Adjunct Faculty, Information Sciences and Technology

Department: College of Engineering and Computing

Job Category: Adjunct Faculty

Job Type: Part-Time

Location: Fairfax, Arlington, Loudoun campuses (hybrid/remote eligible)

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 with research in cybersecurity, data mining, NLP, human-centered computing, and engineering education. The department offers an ABET-accredited BS in Information Technology, graduate programs in Applied Information Technology and MS in Information Systems, and participates in several professional and PhD programs.

Adjunct Faculty teach one or more IT courses in the following areas:

• 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 daytime, evening, and weekends at Fairfax, Arlington, and Loudoun campuses. Formats include face-to-face, hybrid, and online.

• PhD or Master’s degree with 18 graduate credits in an IT-related discipline
• Relevant practitioner 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

For full consideration, applicants must apply for the Adjunct Faculty, Information Sciences and Technology at (Use the "Apply for this Job" box below). complete and submit the online application; and provide a cover letter, curriculum vitae, transcript, and a list of three professional references with contact information.

Posting Open Date: November 10, 2025

For Full Consideration, Apply by: March 31, 2026

Posting Close Date: November 10, 2026

Open Until Filled: Yes