Description
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 Associate Professor or Full Professor to begin in Fall of the academic year 2026-27. Faculty will contribute to a cluster hiring initiative to advancing research and fostering 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 The University of Texas at 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
Requirements
Qualifications
The candidate must have a Ph.D. or equivalent degree and have independent, extramurally funded research programs in areas of active immunization design and optimization, real-time pathogen detection, AI-driven microbiome analysis, and predictive modeling for infectious disease outbreaks and population health. Candidates must demonstrate a strong record of scholarly productivity and collaborative partnerships bridging health sciences with artificial intelligence, machine learning, or computer engineering. Applicants with expertise in antimicrobial resistance, chronic diseases, community health, ‘omics’ integration, statistics and data science, health informatics, and data-centric approaches to disease outcomes will also be considered. The successful candidates are expected to demonstrate a record of leadership in collaborative research, external funding and an outstanding track record of research productivity.
This position requires the ability to maintain the security and integrity of UT San Antonio and its infrastructure
About the University and Department(s)
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. The successful candidate will join a collaborative group of faculty across the Departments of Molecular Microbiology and Immunology, Computer Engineering, and Public Health. Research is supported by advanced core facilities and interdisciplinary centers, including the South Texas Center for Emerging Infectious Diseases (STCEID) and the MATRIX AI Consortium for Human Well-Being. These units foster innovation in microbiology, immunology, host–pathogen interactions, vaccine development, drug discovery, and data-driven approaches to public health through integrated expertise in artificial intelligence, machine learning, and computational science.
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.
