Job TitleAssistant/Associate Professor of Computer Science Agency Texas A&M University - Texarkana Department College of Engineering and Computing - Engineering Proposed Minimum SalaryCommensurate Job LocationTexarkana, Texas Job TypeFaculty 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 accreditation and assessment, such as ABET. Experience in grant writing. Other Requirements Eligibility to work in the United States at the time of hire. No pre-employment sponsorship is authorized for this position. Ability to travel and work beyond normal office hours. Ability to maintain confidentiality. SUPERVISION OF PERSONNEL: This position generally does not supervise employees. ABOUT TEXAS A&M UNIVERSITY TEXARKANA Texas A&M University Texarkana is a regional comprehensive university committed to academic excellence, student success, applied research, and service to the communities of Northeast Texas and the surrounding region. The College of Engineering and Computing is developing programs that address workforce needs, create pathways for first-generation and transfer students, and connect engineering education with industry, innovation, and economic development. Applicants should submit the following materials: Cover letter describing the candidate's interest in the position and alignment with the mission of the university and college. Curriculum vitae. Teaching statement that includes the candidate's teaching philosophy, courses, and laboratories the candidate is prepared to teach or develop, and evidence of teaching effectiveness. Statement of research interests and plans, including opportunities to engage undergraduate students. Unofficial graduate transcript. Contact information for three professional references, including at least one from a supervisor. For applicants with degrees from non-U.S. institutions, transcripts and academic records must be evaluated on a course-by-course basis by WES or another NACES-approved agency as part of the application. If documents are not in English, notarized English translations are required. Applicants are responsible for all evaluation and translation/notarization costs. Please remember once you submit your application you will not be able to “revise” or upload any documents. If you have any questions about uploading or a revision to your application, you may contact [email protected]. All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check. Equal Opportunity/Veterans/Disability Employer. The Texas A&M University System is one of the largest systems of higher education in the nation, with a statewide network of twelve universities, eight state agencies, a comprehensive health science center, Texas A&M-Fort Worth and Texas A&M-RELLIS. The A&M System is committed to providing an educational and work environment that is conducive to the personal and professional development of each employee. Each member institution provides equal opportunity and access to all students, employees and prospective employees. External Applicants - Applicants not currently employed by a Texas A&M System member may Search Postings and apply for positions within one or more A&M System members by selecting the job posting. Internal Applicants - This site lists job postings throughout The Texas A&M University System. It is intended for applicants not currently employed by a member of the system. Current employees should apply for jobs on the Internal Career site. The Texas A&M System is an Equal Opportunity/ Veterans/ Disability Employer.

Assistant/Associate Professor of Computer Science.

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