Apply here: *https://bit.ly/2W7oqyF* <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5ozdTKqa5UIxcegrfouKuDoxHjwijz7Td2g-1941588608&key=YAMMID-51443481&link=https://zahr-prd-candidate-ada.utshare.utsystem.edu/psp/ZAHRPRDADA/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&Action=U&FOCUS=Applicant&SiteId=21&JobOpeningId=6740&PostingSeq=1> The University of Texas at San Antonio is a Hispanic Serving University specializing in cyber, health, fundamental futures, and social-economic development. With more than 34,000 students, it is the largest university in the San Antonio metropolitan region. UTSA advances knowledge through research and discovery, teaching and learning, community engagement and public service. The university embraces multicultural traditions and serves as a center for intellectual and creative resources as well as a catalyst for socioeconomic development and the commercialization of intellectual property—for Texas, the nation and the world. 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UTSA is situated in a global city that has been a crossroads of peoples and cultures for centuries, values diversity and inclusion in all aspects of university life. As an institution expressly founded to advance the education of Mexican Americans and other underserved communities, our university is committed to ending generations of discrimination and inequity. UTSA, a premier public research university, fosters academic excellence through a community of dialogue, discovery and innovation that embraces the uniqueness of each voice. Over the past two years, The University of Texas at San Antonio (UTSA) has made significant progress in interdisciplinary AI research and scholarship efforts, notably through the newly launched MATRIX AI Consortium and establishing the School of Data Science. UTSA has a focused hiring plan in the area of Artificial Intelligence, specifically in Inclusive & Human-Centered AI Systems and AI Accelerators, both of which advance the research thrusts in the MATRIX. The initiative will serve as the nexus for leading AI innovators to perform transdisciplinary research, engage in high-impact partnerships, and provide thought leadership and domain expertise to solve intractable problems in AI. Highlighted positions:¿ Endowed Full/Associate Professor in Inclusive and Human-Centered AI Systems and Assistant Professor with expertise in AI Accelerators; Endowed Full Professor with a joint appointment in the Department of Computer Science and the Department of Electrical and Computer Engineering. Assistant Professor in the field of AI Accelerators will have an appointment in the Department of Electrical and Computer Engineering. Qualifications 1. *Inclusive and Human-Centered AI Systems: *Outstanding senior candidates are invited for an Endowed Full/Associate professor position in “Inclusive and Human-centered AI Systems”. Human-centered AI, is a multidisciplinary effort to advance AI research and deployment in ways that dramatically amplify human performance in several settings. This area bridges the fields of AI models (*eg*: explainable AI, fairness in AI models, decentralized decision making, dynamic & adaptive models) with human engagement in high-consequence contexts. Researchers in this area will have the opportunity to collaborate with MATRIX partners in developing convergent AI solutions that are inclusive. Successful candidates will demonstrate (1) a record of high-quality research, publication record, and track-record of external funding in human-centered AI & related areas, (2) excellence in undergraduate and graduate education, and (3) a commitment to inclusion and diversity. Responsibilities Responsibilities include research (individual and collaborative), teaching at the graduate and undergraduate levels, and program development. Candidates for the endowed professor/associate professor should be creating research products, expected but are not limited to communicating the research project results in diverse academic outlets; contributing to open-source scientific software, curated datasets, and/or blogs; and developing thought leadership pieces with academic, government, and industry partners. Posting End Date All applications received by *December 1st, 2021* will be given full consideration. Applications received after that date will be accepted and reviewed until the position is filled. Required Application Materials Applicants should submit their application packages via the UTSA HR website: https://www.utsa.edu/hr/employment/ <https://ieeevrpublicity-dot-yamm-track.appspot.com/Redirect?ukey=1Hq7YtN0F5ozdTKqa5UIxcegrfouKuDoxHjwijz7Td2g-1941588608&key=YAMMID-51443481&link=https://www.utsa.edu/hr/employment/> - Curriculum Vitae - Research and teaching statements, which include discussion on the role diversity and inclusion plays in an academic environment (3-page limit) - Complete contact information for at least three professional references *Please submit all documents together in a single PDF in order to be considered.* Questions and nominations for any position should be sent to the Director of MATRIX AI Consortium, Dhireesha Kudithipudi, Search Committee Chair at dk@utsa.edu. Required Qualifications - Doctorate degree in Computer Engineering, Computer Science, Electrical Engineering, and/or related fields. - 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) - Demonstrated commitment to inclusion and diversity. - Moreover, the successful candidate(s) must demonstrate their ability to work with and be sensitive to the educational needs of diverse urban populations and support the University’s commitment to thrive as a Hispanic Serving Institution and a model for student success. - The most competitive candidates will also have experience in interdisciplinary research and/or curriculum development, and scientific open-source projects. - Applicants for an Assistant Professor position must earn a Ph.D. degree by August 1st, 2022, and must demonstrate a strong potential for excellence in research and teaching. Preferred Qualifications - Ideal candidates include those who demonstrate evidence of a commitment to collaboration, diversity, equity, and inclusion through research, teaching, service endeavors, and those who can show a commitment to data-intensive research and software reproducibility. Working Conditions *On Campus: *Primary work location will be on campus Additional Information - UTSA is a tobacco free campus. - This is a security sensitive position. Employment is contingent upon a successful background check. - Applicants selected must be able to show proof of eligibility to work in the United States by time of hire. EO/AA Statement 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. Women, minorities, people with disabilities and veterans are encouraged to apply. UTSA campuses are accessible to persons with disabilities. [image: beacon]