Assistant/Associate Professor of Computer Science

Texas A&M University System•Texarkana, TX

1d•Onsite

About The Position

Texas A&M University–Texarkana’s College of Engineering and Computing seeks a full-time, nine-month, tenure-track faculty member in Computer Science at the Assistant or Associate Professor rank. The anticipated start date is Spring or Fall 2027. Research and teaching interests are preferred in artificial intelligence, machine learning, cybersecurity, or related areas, with particular interest in AI/ML and cybersecurity and a strong foundation in core computer science. The faculty member will teach and develop undergraduate and graduate courses, support student success through teaching, mentoring, and advising, collaborate with colleagues, and contribute to teaching, scholarship, service, and departmental and college goals. The role includes establishing a productive research program, pursuing external funding, disseminating scholarly work, and involving students in research. It offers opportunities for interdisciplinary collaboration, graduate education, industry partnerships, and sponsored research. Working with college leadership and faculty colleagues, the successful candidate will help implement and improve computer science and artificial intelligence curricula; develop teaching and research laboratories; participate in ABET assessment and accreditation; and build partnerships with industry and research organizations. The position supports hands-on student learning through laboratories, undergraduate research, capstone and industry-sponsored projects, internships, and other experiential learning opportunities. The position generally does not supervise employees.

Requirements

Earned Ph.D. in computer science, artificial intelligence, machine learning, cybersecurity, data science, or a closely related field from an accredited institution.
Record of, or demonstrated potential for, effective teaching in computer science courses and laboratories.
Record of, or demonstrated potential for, scholarly publication and external funding appropriate to the rank sought.
Excellent verbal and written communication skills.
For appointment as Associate Professor, a record of teaching, scholarship, and service meeting Texas A&M University–Texarkana standards for that rank; this normally includes at least five years of successful service as an Assistant Professor or equivalent experience.
Eligibility to work in the United States at the time of hire; pre-employment sponsorship is not authorized.
Ability to travel and work beyond normal office hours.
Ability to maintain confidentiality.

Nice To Haves

Strong publication record in artificial intelligence, machine learning, cybersecurity, or related areas in top-tier journals or A/A conferences (CORE ranking).
Expertise at the intersection of AI/ML and cybersecurity.
Experience teaching computer science courses, with the ability to teach cybersecurity and AI/ML.
Familiarity with program accreditation and assessment, such as ABET.
Experience in grant writing.

Responsibilities

Establish an active scholarly program in computer science, preferably at the intersection of AI/ML and cybersecurity, with peer-reviewed publications, external funding, and research appropriate to the rank.
Teach undergraduate and graduate computer science courses, including cybersecurity and AI/ML, in in-person, online, and hybrid formats.
Develop courses, laboratory experiences, and instructional materials for the computer science and artificial intelligence curricula.
Assess student learning and use results to improve courses and program effectiveness.
Advise and mentor students on academic, research, professional, and career matters, and maintain regular office hours.
Contribute to curriculum development, ABET preparation, continuous improvement, and accreditation.
Lead or support the development, safe operation, and improvement of computing teaching and research laboratories, including AI/ML computing and cybersecurity laboratories.
Serve on division, college, and university committees.
Collaborate across the college and contribute to its teaching, scholarship, service, and strategic goals.
Build partnerships with industry and research organizations and support hands-on and experiential learning opportunities.