Faculty Positions

Department of Computer Engineering, University of Texas at San Antonio

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The Department of Computer Engineering at The University of Texas at San Antonio, a Carnegie R1 research university, invites applications for a tenure-track Assistant Professor position in Computer Architecture, starting Fall 2026. We seek outstanding candidates with demonstrated potential for excellence in research and teaching.

Research areas of interest include (but are not limited to) low-power and energy-efficient architectures, processor and SoC design, memory systems, accelerators for AI/ML and data analytics, heterogeneous and parallel systems, architecture for security and reliability, and emerging paradigms such as reconfigurable computing.

Required Qualifications

• PhD 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 information about UT San Antonio, the College of AI, Cyber and Computing, and the Department of Information Systems and Cybersecurity, respectively, can be found at the following websites:
http://www.utsa.edu, https://caicc.utsa.edu and https://caicc.utsa.edu/information-systems-cybersecurity.

Questions about the application can be addressed to Dr. Eugene John, Faculty Search Committee Chairperson, at eugene.john@utsa.edu.  

Applications will be accepted until the position is filled. However, review of applications will begin on December 1, 2025, and applicants are strongly encouraged to submit their application materials before this date to receive priority consideration. The full recruitment announcement, including application requirements, can be found at: https://www.utsa.edu/hr/employment/.

Department of Computer Engineering, University of Texas at San Antonio

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The Department of Computer Engineering is part of the newly established College of AI, 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 PhD 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 for 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 information about UT San Antonio, the College of AI, Cyber and Computing, and the Department of Information Systems and Cybersecurity, respectively, can be found at the following websites: http://www.utsa.edu, https://caicc.utsa.edu and https://caicc.utsa.edu/information-systems-cybersecurity.

Questions about the application can be addressed to Dr. Eugene John, Faculty Search Committee Chairperson, at eugene.john@utsa.edu.

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. The full recruitment announcement, including application requirements, can be found at: https://www.utsa.edu/hr/employment/

Department of Computer Engineering, University of Texas at San Antonio

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The Department of Computer Engineering is part of the newly established College of AI, 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 PhD 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 for 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

• 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 Hardware Cybersecurity are particularly encouraged to apply. 
• Candidates must demonstrate a strong publication record and/or the 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.

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. Tenure is contingent upon Board of Regents approval. 

Questions about the application can be addressed to Dr. Ram Krishnan, coordinator of the Regent’s hire initiative, at Ram.Krishnan@utsa.edu.

Departments of Computer Science and Computer Engineering, University of Texas at San Antonio

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The Department of Computer Engineering is part of the newly established College of AI, 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 PhD 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 for 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

• 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.

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 Ram.Krishnan@utsa.edu.

Department of Computer Engineering & Information Systems and Cybersecurity, University of Texas at San Antonio

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The Department of Computer Engineering is part of the newly established College of AI, 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 PhD 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 for 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

• 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 Critical Infrastructure Security/Cyber-physical Systems 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.

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 Ram.Krishnan@utsa.edu.

Host-Microbe Interactions, Data Analytics and Public Health Cluster Hire for Associate/Full Professors

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The University of Texas at San Antonio, College of Sciences, College of AI, Cyber and Computing, and the College of Health Community and Policy, and home Departments of Molecular Microbiology and Immunology, Public Health and Computer Engineering, invites applications for an Associate Professor or Full Professor to begin in the Fall of the academic year 2026-27. Faculty will contribute to a cluster hiring initiative to advance research and foster transdisciplinary integration using Artificial Intelligence, Deep Learning and Big Data Analytics to address complex challenges in microbiology, immunology and public health.

The Clustered & Connected Hiring Program (CCP) is designed to recruit and hire some of the best and brightest minds of varying backgrounds and experiences in select fields to UT San Antonio to join in efforts to address some of today’s most significant challenges.

The University of Texas System approved the creation of the Regents’ Research Excellence Program across its four Emerging Research Universities (ERUs), including The University of Texas at San Antonio. UT System has allocated funds across all four ERUs to fund the recruitment of research-active faculty to dramatically grow its national research prominence and federal funding opportunities. The university’s allocation from UT System will add expertise in research areas that will enhance competitiveness, help solve societal needs and advance the university’s capacity to meet UT System and state goals as outlined by the Texas Legislature.

The University of Texas at San Antonio aims to bring transdisciplinary and collaborative groups of faculty researchers to the university through its CCP program. As such, the on-campus interview for these positions will be conducted as a collaborative group interview, during which all on-campus candidates for a position will meet with UT San Antonio faculty and staff simultaneously. This collaborative process allows candidates to discuss potential research collaborations with fellow candidates and current university faculty. Additionally, each candidate will be given the chance to present their job talk and engage the faculty, staff and students from their discipline’s home department.

The candidate must have a PhD or equivalent degree and have independent, extramurally funded research programs in the areas of:

• Active Immunization Design & Optimization, Real-Time Pathogen Detection & Diagnosis: Candidates are sought who have expertise in cellular and molecular approaches of host-microbe interactions and/or applications of AI-powered diagnostics, deep learning for imaging and molecular data, real-time genomic analysis for pathogen detection and antimicrobial resistance, and the application of data science and statistics to accelerate vaccine development and integrate host-pathogen genomic data among other public health applications

•Artificial Intelligence and Deep Learning in Microbiome and Other Microbial Ecosystem Analysis: Candidates are sought who apply Artificial Intelligence and Deep Learning to 2 analyze complex microbial communities across diverse environments, including the human body, or that support the processing of large-scale datasets to identify microbial and host cell compositions and/or interactions, and their roles in health and disease.

• Predictive Modeling for Infectious Diseases Outbreak and Population Health: Candidates are sought who integrate molecular, cell biology or biochemistry with Artificial Intelligence and Deep Learning in combination with epidemiological data, data science, and statistics to support predictive modeling of infectious disease outbreaks. By analyzing datasets such as population demographics, travel patterns, environmental factors, host responses to single and polymicrobial infections, and pathogen characteristics, these models can forecast disease spread, evaluate intervention strategies, and guide resource allocation for effective prevention and control.

Qualifications

Successful candidates must have a strong record of collaborative partnerships bridging health sciences with AI, Machine Learning, Computing Engineering, Data Science or related fields, who can foster collaborations across departments and external partners. Applicants must have an outstanding record of scholarly productivity. Expertise in interdisciplinary areas of infection and immunity, antimicrobial resistance, chronic diseases, community health, data-centric analyses and applications, ‘Omics’ integrations with human immune responses and disease outcomes, health informatics, statistics and data science will also be considered. A commitment to contributing to UT San Antonio’s instructional mission, including teaching and mentoring undergraduate and graduate students, is essential. We seek scholars who embrace UTSA’s culture of collegiality, academic excellence, and transdisciplinary collaboration. This position requires the ability to maintain the security and integrity of UT San Antonio and its infrastructure.

The successful candidate will join a highly interactive and collaborative group of faculty across the departments of Molecular Microbiology and Immunology, Computer Engineering or Public Health. Faculty at the South Texas Center for Emerging Infectious Diseases (STCEID), drive advances in microbiology, immunology, host–pathogen interactions, vaccine development, and drug discovery, supported by cutting-edge facilities in genomics, proteomics, advanced imaging, and BSL3 laboratories. These efforts are amplified by MATRIX AI Consortium for Human Well-Being, where experts in artificial intelligence, data science, and machine learning collaborate with biomedical and public health researchers to harness big data, model infectious disease dynamics, and develop innovative interventions. Together, these strengths create a uniquely transdisciplinary environment where discovery, computation, data science and application converge to improve health and strengthen communities.

About the University and Departments

The University of Texas at San Antonio (UT San Antonio) is a Carnegie R1 institution and the third-largest research university in Texas, with six campuses, over 40,000 students, and more than 4,000 faculty. The university offers 350+ academic programs and invests approximately $486 million annually in research. 3

The Department of Molecular Microbiology and Immunology (MMI) houses a collaborative community of researchers and educators committed to advancing discovery and training at the undergraduate, graduate, and postdoctoral levels. Academic programs include a BS in Microbiology and Immunology, an MS in Biotechnology, and a Ph.D. in Molecular Microbiology and Immunology. Research areas span host-pathogen interactions, disease intervention and vaccines, immunology, and microbial genomics, with funding from NIH, NSF, DoD, and other agencies. MMI leads the San Antonio-based Coccidioidomycosis Collaborative Research Center (SA-CCRC) and houses the NIAID-funded MMI-T32 Predoctoral Training Grant. The department is affiliated with the South Texas Center for Emerging Infectious Diseases (STCEID) and maintains strong partnerships with UT Health San Antonio and Texas Biomedical Research Institute. The Department of Public Health is home to faculty with a community-focused mission to improve human health through research, education, and engagement. It offers a BS in Public Health and an MS in Health, Community and Policy. Faculty collaborate across disciplines within UT San Antonio to address complex public health challenges through integrated approaches.

The Department of Computer Engineering advances education and research in intelligent systems, embedded computing, and emerging hardware technologies. Faculty and students engage in areas such as artificial intelligence, robotics, cybersecurity, and next-generation computing systems. The department offers a BS in Computer Engineering and a multidisciplinary BS in Artificial Intelligence. Strong industry partnerships and a focus on applied learning support a dynamic academic environment. Together, the lead departments and affiliated Colleges at UT San Antonio cultivate a multidisciplinary environment that promotes inclusive research, cross-sector collaboration, and integrated education. This ecosystem supports strategic cluster hires aimed at addressing complex challenges in human health through comprehensive perspectives and collective expertise.

Application Information

Applicants must upload the following: 1) curriculum vitae; 2) Complete contact information for at least three professional references; 3) A research statement and summary of research goals (3-page limit); 4) A teaching statement and teaching philosophy (1 page limit); and 5) A statement highlighting potential areas for transdisciplinary collaboration (1-page limit).

To ensure full consideration, please apply by 12/31/2025. For more information, contact Dr. Astrid Cardona, Chair of the Search Committee at astrid.cardona@utsa.edu. Please visit UT San Antonio Human Resources website to apply.