Assistant Professor of Computer Science (Artificial Intelligence)

Location: Laredo, Texas, United States; regular face-to-face attendance on campus and in the workplace is required.

Company

A Hispanic-Serving Institution within The Texas A&M University System, offering ABET-accredited engineering programs and expanding its permanent faculty.

What you will do

• Establish an independent, externally funded artificial intelligence research program.
• Teach AI, machine learning, computer vision, and related undergraduate and graduate Computer Science courses.
• Mentor undergraduate and graduate student research and senior design projects.
• Contribute to the AI-themed MS in Systems Engineering.
• Support recruitment, curriculum development, accreditation, and School service.
• Collaborate with faculty and external partners on interdisciplinary research.

Requirements

• Ph.D. in Computer Science or a closely related discipline by the appointment start date; candidates nearing completion may be considered if the degree is awarded before appointment.
• Demonstrated expertise in artificial intelligence through research, scholarship, professional experience, or a combination thereof.
• Ability to teach AI or related Computer Science courses, mentor student research, and establish an independent research program.
• Strength in one or more of machine learning, natural language processing, computer vision and image processing, deep learning, generative AI and large language models, multimodal learning, reinforcement learning, or trustworthy and explainable AI.
• Ability or experience in externally funded research, advanced AI coursework development, student research mentoring, and interdisciplinary collaboration.

Culture & Benefits

• Tenure-track, nine-month faculty appointment with a reduced teaching load to support research development.
• Health insurance, retirement benefits, and life insurance.
• Additional pay is available for summer teaching.
• Financial support is provided for professional development and academic conferences.
• Moving expenses are covered in whole or in part by the University.

Hiring process

• Submit a cover letter, curriculum vitae, unofficial transcripts, three professional references, research and teaching statements, and the completed employment application online.
• Application review begins on October 31, 2026, and continues until the position is filled.
• Employment is contingent on credential verification and completion of a criminal history investigation.