Associate or full professor security of computer science and computer engineering

Position Information

Associate or Full Professor

Associate or Full professor in Computer Engineering (AI Security)

The University of Texas at San Antonio

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 .

College of AI, Cyber and Computing

Launched on September 1, 2025, the College of AI, Cyber, and Computing at UT San Antonio is a dynamic hub for innovation, education, and research in the digital age. With over 5,400 students, the college is committed to preparing the next generation of leaders in artificial intelligence, cybersecurity, computing, and data science.

By integrating cutting-edge technology with interdisciplinary learning, the college empowers students and researchers to shape the future of technology. Located in the heart of downtown San Antonio, it bridges academic excellence with real-world industry partnerships, offering students unparalleled opportunities to gain hands-on experience and drive meaningful impact in a rapidly evolving digital landscape.

The College of AI, Cyber and Computing stands as a testament to UT San Antonio’s dedication to advancing knowledge, fostering innovation, and building a workforce ready to meet the challenges of tomorrow.

Additional information about UT San Antonio and the College of AI, Cyber and Computing can be found at the following websites: and .

Department of Computer Engineering

The Department of Computer Engineering is part of the newly established College of Artificial Intelligence, Cyber, and Computing. Launched with an inaugural cohort of eight tenure and tenure-track faculty members, the department is poised for substantial growth. It offers an ABET-accredited Bachelor of Science in Computer Engineering, alongside Master of Science programs in Computer Engineering and Artificial Intelligence, and a Ph.D. in Computer Engineering.

Currently serving over 400 students, the department anticipates continued enrollment growth in the coming years. Faculty members are recipients of prestigious awards such as the NSF CAREER and AFOSR Young Investigator Program (YIP), and several lead major UT San Antonio research centers and institutes.

Research within the department spans a broad spectrum of cutting-edge areas, including computer architecture, cybersecurity, neuromorphic computing, low-power VLSI design, machine learning, quantum engineering, and AI/ML hardware, with robust support from federal and industry sponsors.

The department maintains strong collaborations with prominent university and college research centers and hubs, including UT San Antonio’s National Security Collaboration Center , Center of Data Science , the Cyber Manufacturing Innovation Institute , the Institute for Cyber Security , the Center for Infrastructure Assurance and Security , the MATRIX AI Consortium , and the Open Cloud Institute . Faculty have access to state-of-the-art research laboratory resources and high-performance computing resources.

Position Summary

The University of Texas at San Antonio (UT San Antonio), College of AI, Cyber and Computing invites applications for a faculty position in Hardware Cybersecurity as part of a strategic hiring initiative supported by the Regents Research Excellence Program (RREP). The position is at the rank of Associate or Full professor; however, senior Assistant Professors with an exceptional record of excellence will also be considered.

The selected candidates will lead and conduct cybersecurity research, mentor early-career faculty, grow research programs, and foster interdisciplinary collaboration across CAICC departments. This appointment in the Department of Computer Engineering, with potential for joint appointments in other CAICC departments. Candidates appointed at the rank of Full Professor will designated as University of Texas System (UT System) Research Excellence Regents' Professors.

The Regents’ Research Excellence Program (RREP) was established by the UT System to accelerate research excellence across its four Emerging Research Universities (ERUs), including UT San Antonio. Through this initiative, UT System has committed significant funding to recruit mid- to senior-level, research-active faculty to dramatically grow its national research prominence and federal funding opportunities.

UT San Antonio’s allocation from the UT System supports approximately 40 new faculty positions over the next several years. These positions are intended to attract accomplished scholars whose expertise will strengthen the university’s research enterprise, address pressing societal challenges, and advance institutional goals aligned with UT System and Texas Legislature priorities.

Through RREP, UT San Antonio seeks to recruit outstanding faculty from varied backgrounds and disciplines who will contribute to the university’s mission and help shape its future as a premier public research institution.

Application Information

Required Qualifications

• A doctorate degree in Computer Engineering, Computer Science, Information Systems, Cybersecurity, or related areas (e.g., Information Science, Data Science, and Electrical Engineering), with specialization in cybersecurity.
• Appropriate research and teaching record for appointment at the rank for each position (for those seeking appointments with tenure, this is contingent upon Board of Regents' approval).
• Must demonstrate their ability to work with and be sensitive to the educational needs of urban populations and support the University's commitment as a model for student success.
• The successful candidate is expected to demonstrate a record of leadership in high-quality, collaborative research and an excellent scholarship record of external funding.
• This position requires the ability to maintain the security and integrity of UT San Antonio and its infrastructure.
  
  

Preferred Qualifications

• Applicants who have demonstrated research excellence in AI Security are particularly encouraged to apply.
• Candidates must demonstrate a strong publication record and/or knowledge and experience in seeking and securing external research funding.
• The ability to obtain and conduct federally funded research that requires a top-secret security clearance is also preferred.
  
  

Candidates must submit:

• A cover letter stating the primary area(s) of expertise and key scholarly achievements.
• A current curriculum vitae.
• Complete contact information for at least three professional references.
• A research statement, with optional discussion on transdisciplinary collaboration.
• A teaching statement.
  
  

Tenure is contingent upon Board of Regents approval.

Applicants must submit their full application package via UT San Antonio’s employment site located at . Applications will be accepted until the position is filled. However, review of applications will start on December 1, 2025 and applicants are strongly encouraged to submit their application materials before this date to receive priority consideration.

Questions about the application can be addressed to Dr. Ram Krishnan, coordinator of the Regent’s hire initiative, at [email protected] .

This position will work primarily on campus . Travel and parking expenses are the employee’s responsibility.

This position is contingent upon a successful background check. Verification of a valid driver’s license and Motor Vehicle Record (MVR) may be completed as applicable. Applicants selected must be able to show proof of eligibility to work in the United States by time of hire.

Equal Employment Opportunity

As an equal employment opportunity and affirmative action employer, it is the policy of The University of Texas at San Antonio to promote and ensure equal employment opportunity for all individuals regardless of race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability or genetic information, and veteran status. The University is committed to the Affirmative Action Program in compliance with all government requirements to ensure nondiscrimination.