[Infovis] Jobs: Inclusive and Human-Centered AI Systems - Endowed Full/ Associate/Assistant Professor- The University of Texas at San Antonio

Mon Sep 27 16:04:03 CEST 2021

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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. Learn more online
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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/
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   - 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 at 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.
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