"Open Rank Professor of Practice, Professor of Instruction, or Lecturer - College of AI, Cyber and Computing, Department of Computer Science"

The Department of Computer Science (CS) in the College of AI, Cyber, and Computing invites applications for Professor of Practice, Professor of Instruction, or Lecturer fixed-term track (FTT) faculty member to specialize in teaching beginning Spring 2026.

The University of Texas at San Antonio (UT San Antonio) is a nationally recognized, top-tier public research university that unites the power of higher education, biomedical discovery and healthcare within one visionary institution. As the third-largest research university in Texas and a Carnegie R1-designated institution, UT San Antonio is a model of access and excellence — advancing knowledge, social mobility and public health across South Texas and beyond. UT San Antonio serves approximately 42,000 students in 320 academic programs spanning science, engineering, medicine, health, liberal arts, AI, cybersecurity, business, education and more. With 17,000 faculty and staff, UT San Antonio has also been recognized as a Top Employer in Texas by Forbes Magazine. Learn more online, on UT San Antonio Today or on X, Instagram, Facebook, YouTube or LinkedIn.

The Department of Computer Science (CS) in the College of AI, Cyber and Computing at UT San Antonio is currently composed of 29 tenured/tenure-track and 23 fixed-term track teaching faculty members, offers B.S., M.S., and Ph.D. degree programs, and supports more than 2,000 undergraduates, 98 master's students, and 83 Ph.D. students.

Essential Functions

Primary duties will be teaching undergraduate computer science courses, four courses/sections per semester (Fall and Spring). Selected graduate teaching may be available depending on candidate's expertise.

Seeking outstanding candidates with teaching expertise in multiple areas to include introductory programming; database systems; software engineering; discrete math; cybersecurity; systems; artificial intelligence and machine learning; data science; human-computer interaction; and web application development. Strong candidates with expertise in any area of computer science are welcome. We are looking for candidates who are dedicated to teaching computer science and have a record of (or potential for) excellent teaching. Candidates with experience in contemporary approaches to CS education, including active learning, project-based learning, and classroom-based learning assistance, are especially encouraged to apply.

Required Qualifications

• Master's degree in Computer Science or a closely related field at the Lecturer level.
• PhD degree in Computer Science or a closely related field and/or professional (industry) experience in Computer Science at the Professor of Practice level.
• PhD degree in Computer Science or a closely related field at the Professor of Instruction level.
• Two or more years of effective teaching experience at undergraduate level in Computer Science or a closely related field (including teaching assistant experience).

Candidates must submit:

• Letter of Application
• Curriculum Vitae (CV)
• Contact information for at least two references to write recommendation letters.
• Teaching evaluation (for at least one course) or description of relevant experiences including teaching assistant experience.

Questions about the application can be addressed to Dr. Dakai Zhu, Search Committee Chairperson at dakai.zhu@utsa.edu.

Applications will be accepted until the position is filled. However, to ensure the fullest consideration, please submit your materials no later than November 15, 2025.