Assistant Professor- Department of Computer Engineering; VLSI Design​/Quantum Computing), College of AI, Cyber

Position: Assistant Professor- Department of Computer Engineering (VLSI Design/Quantum Computing), College of AI, Cyber and
Position Information

Assistant Professor

Assistant Professor in Computer Engineering (VLSI Design/Quantum Computing).

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, You Tube or Linked In.

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.

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.

Application Information

Required Qualifications

* Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or a closely related field by the time of appointment.

* Evidence of potential for excellence in research, as demonstrated by scholarly publications, presentations, or related accomplishments, commitment to high-quality teaching and mentoring.

* Demonstrated ability to work collaboratively in an academic community.

Candidates must submit:

* CV with at least three references indicated.

* Cover letter.

* Teaching statement.

* Research statement.

Additional…