Adjunct Faculty, Information Sciences and Technology

Job Overview

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 About the Department: The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.

IST has the largest and fastest growing undergraduate major in the university, the ABET-accredited BS in Information Technology, serving more than 2,000 students.

Job Description

Additionally, the department has over 300 graduate students in the Applied Information Technology (AIT) and MS in Information Systems (INFS) programs. The online MS programs in IT ranked 26th among public universities and 37th overall by U. S. News and World.

In addition to BS and MS programs, the department also participates in a BAS program in Cyber Security, MS program in Data Analytics Engineering, and a PhD program in Information Technology (concentration in IST) offered by the CEC.

In FY24, IST faculty had $2. 5M research expenditures, received $4. 27 M in new awards, and submitted proposals for $10. 6 M. Several IST faculty members are affiliated with both school-level and university-level research centers and institutes.

Funding sources include NSF, DOD, DARPA, NIH, and DHHS. Faculty awardees include NSF CAREER and NSF CRII recipients.

Courses may be offered in several formats: face-to-face, hybrid, and online.

Key Responsibilities

• For more information on the department, please visit our website: Responsibilities: Adjunct Faculty teach one or more IT courses in the following areas (current syllabi are available at Graduate Big Data Analytics Natural Language Processing Machine Learning Data Mining Cybersecurity Cyber-Human Systems Artificial Intelligence Undergraduate Databases Networking and Telecommunication Programming Web Application Development Cloud Computing Courses are offered in the daytime, evening, and on weekends at the Fairfax, Science and Technology (formerly Prince William), Arlington, and Loudoun campuses.
• 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; and Solid verbal and written communication skills.
• The college stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
• The college encourages and supports multidisciplinary research and provides ample opportunity for faculty to work with other disciplines.
• In 2025, Fuse a new 355,000 square foot building, will open to students, faculty, and research teams.
• These initiatives reflect hundreds of millions of dollars in new investment by Mason that will rapidly elevate the university’s already leading national position in computing and related areas.

Required Skills and Qualifications

• 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 About the Department: The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
• 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; and 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; and Willingness to participate in department activities such as faculty meetings.
• Instructions to Applicants: For full consideration, applicants must apply for the Adjunct Faculty, Information Sciences and Technology at complete and submit the online application; and provide a cover letter, curriculum vitae, transcript, and a list of three professional references with contact information.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

George Mason University is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.