Assistant/Associate Professor of Computer Science

Texas A&M University System; Texarkana (TX); On-site; USD 80,000 - 110,000; Full time

Job summary

Texas A&M University Texarkana invites applications for a full-time, nine-month, tenure-track faculty position in Computer Science at the rank of Assistant/Associate Professor, with an anticipated start date in Spring or Fall 2027. The position emphasizes AI, ML, cybersecurity, and related areas, with a strong foundation in core CS.

You will teach undergraduate and graduate courses, develop labs and research, advise students, and build interdisciplinary collaborations across the college and

Qualifications

• PhD in computer science, AI, ML, cybersecurity, data science, or closely related field.
• Evidence of effective teaching in CS courses and labs.
• Scholarly publication record and external funding potential.
• Excellent verbal and written communication skills.
• For Associate rank, meet Texarkana standards, typically five years at Assistant rank.

Responsibilities

• Establish an active scholarly program in CS focusing on AI/ML and cybersecurity.
• Teach CS courses in-person, online, and hybrid formats.
• Develop courses, laboratories, and instructional materials.
• Advise and mentor students; maintain regular office hours.
• Contribute to ABET preparation and accreditation.
• Lead or support computing teaching and research laboratories and committees.

Skills

Teaching effectiveness

Effective communication

Education

Ph.D. in Computer Science or related field

Job description

Job Title

Assistant/Associate Professor of Computer Science

Agency

Texas A&M University - Texarkana

Department

College of Engineering and Computing - Engineering

Proposed Minimum Salary

Commensurate

Job Location

Texarkana, Texas

Job Type

Faculty

Job Description

The College of Engineering and Computing at Texas A&M University Texarkana invites applications for a full-time, nine-month, tenure-track faculty position in Computer Science at the rank of Assistant/Associate Professor, with an anticipated start date in Spring or Fall 2027. Preferred research and teaching interests are in artificial intelligence, machine learning, cybersecurity, or related areas, with particular interest in work at the intersection of AI/ML and cybersecurity and a strong foundation in core computer science.

The successful candidate will teach and develop undergraduate and graduate courses in computer science, artificial intelligence, machine learning, and cybersecurity; support student success through teaching, mentoring, and advising; collaborate with colleagues across the college; and contribute to excellence in teaching, scholarship, service, and the advancement of departmental and college strategic goals.

Consistent with the University's R2 research aspirations, the successful candidate will establish a productive research program in artificial intelligence, machine learning, cybersecurity, or a related area; pursue external funding; disseminate scholarly work; and engage students in research. The position offers significant opportunities for interdisciplinary collaboration, graduate education, industry partnerships, and sponsored research. Strong communication and interpersonal skills, along with a commitment to a student-centered learning environment, are essential.

Working closely with college leadership and faculty colleagues, the successful candidate will help implement and continuously improve the computer science and artificial intelligence curricula, develop teaching and research laboratories, participate in ABET assessment and accreditation activities for the Computer Science program, and build partnerships with industry and research organizations. The faculty member will help create a dynamic learning environment that provides students with hands-on experiences through programming and computing laboratories, undergraduate research, capstone projects, industry-sponsored projects, internships, and other experiential learning opportunities, while supporting the continued growth of the program, the college, and the university.

ESSENTIAL DUTIES & RESPONSIBILITIES:

• Establish an active scholarly program in computer science, preferably at the intersection of AI/ML and cybersecurity, involving peer-reviewed publications, external funding, and meaningful research appropriate to the rank.
• Teach undergraduate and graduate computer science courses, including courses in cybersecurity and AI/ML, in-person, online, and hybrid formats.
• Develop courses, laboratory experiences, and instructional materials supporting 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 keep 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, such as AI/ML computing and cybersecurity laboratories.
• Serve on division, college, and university committees.
• This document represents the major duties, responsibilities, and authorities of this job, and is not intended to be a complete list of all tasks and functions. Other duties may be assigned.

KNOWLEDGE, SKILLS & ABILITIES:

Minimum Qualifications

• An earned Ph.D. in computer science, artificial intelligence, machine learning, cybersecurity, data science, or a closely related field from an accredited institution.
• A record of, or demonstrated potential for, effective teaching in computer science courses and laboratories.
• A record of, or demonstrated potential for, scholarly publication and external funding appropriate to the rank sought.
• Excellent verbal and written communication skills.
• For appointment at the Associate Professor rank, a record of teaching, scholarship, and service that meets Texas A&M University Texarkana standards for appointment at that rank. Normally, this includes at least five years of successful service at the rank of Assistant Professor or equivalent experience.

Preferred Qualifications

• A 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