College of Engineering - Professor/Nooyi Endowed Chair

The University of Texas at Arlington

College of Engineering

Professor/Nooyi Endowed Chair

Position ID: F00119P

The College of Engineering, on behalf of the University of Texas at Arlington, invites applications for the Nooyi Endowed Chair position, with starting employment date early in 2021. This position will be at the full professor level, with an appointment in the College of Engineering or the College of Nursing and Health Innovation or in the College of Science with possible secondary appointments in a variety of supporting disciplines across the University.  It is preferred that the candidate’s primary appointment be in the Department of Bioengineering.  The search is part of the University’s strategic hiring plan within the four thematic research thrusts of UTA’s Strategic Plan Health and the Human Condition, Sustainable Urban Communities, Global Environmental Impact, and Data-Driven Discovery.  A key objective is to hire faculty members with outstanding qualifications who share the University’s core values of high standards of excellence in teaching, innovative and collaborative research, and service, combined with fostering an open and inclusive environment.

In this prestigious role, this individual is expected to lead at least one of the university’s efforts to establish research clusters at the intersection of human health and data-driven discovery. Major emphasis will be placed on creating and realizing potentials for a major bioinformatics-related research and education powerhouse in North Texas by collaborating across UTA and with premier medical schools in DFW area. Indications of success will include a stimulating environment that supports development of joint degree-granting programs in areas such as bioinformatics, medical informatics, or more broadly in biocomputation.

The University of Texas at Arlington is a Carnegie Research-1 “highest research activity” institution. With a student enrollment of close 60,000, UTA is rapidly becoming one of the largest institutions in the University of Texas System. Guided by its Strategic Plan Bold Solutions | Global Impact, UTA fosters interdisciplinary research and teaching to enable the sustainable megacity of the future within four broad themes: health and the human condition, sustainable urban communities, global environmental impact, and data-driven discovery. UTA was cited by U.S. News & World Report as having the second lowest average student debt among U.S. universities in 2017. U.S. News & World Report also ranks UTA fifth in the nation for undergraduate diversity. The University is a Hispanic-Serving Institution and is ranked as the top four-year college in Texas for veterans on Military Times’ 2017 Best for Vets list.

The successful candidate will have demonstrated internationally recognized research programs in one or more areas including, but not limited to, big data analytics, bioinformatics, molecular and computational modeling, and systems biology.  The successful candidate will be expected to teach and develop graduate courses in these areas, supervise graduate students, and serve on departmental, college and university committees.  Applicants must have earned a Ph.D. or M.D./Ph.D. degree in an engineering, science or health care related discipline and have a significant level of research and scholarship accomplishments commensurate with the rank of full professor with tenure and Nooyi Endowed Chair.

Application Instructions

To apply, applicants should go to https://uta.peopleadmin.com/ and submit their application, including a cover letter, curriculum vitae, statements of research and teaching objectives, and contact information for at least five references. Questions about the position should be addressed to michael.cho@uta.edu. Review of applications will continue until the positions are filled.

UTA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, national origin, religion, age, sex, disabilities, or sexual orientation.