UT San Antonio
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr