Visible to the public CPS Faculty Position at the University of Texas at ArlingtonConflict Detection Enabled

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Yan Wan
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Faculty Positions

Assistant/Associate Professor

The Computer Science and Engineering Department

at The University of Texas at Arlington

The Computer Science and Engineering Department at The University of Texas at Arlington invites applications for one tenure/tenure-track assistant/associate professor position with a tentative start date in Fall 2019 in the broad area of Cyber Physical Systems (CPS).

Our key objective is to hire a faculty member with outstanding qualifications, who shares 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 and promoting diversity and participation of groups that are currently underrepresented in engineering fields. A major emphasis will be on potential collaboration for research with faculty members within and outside the department.

Duties and Responsibilities

Duties include teaching undergraduate and graduate courses, building and leading a team of Ph.D. student researchers, developing an externally funded research program that yields top-tier publications, and serving on committees within UTA and the research community.

Required Qualifications

Candidates must have earned (by the start date) a Ph.D. degree in Computer Science, Computer Engineering, or a related area. Candidates for Assistant Professor must have demonstrated exceptional research promise. Candidates for Associate Professor must be leading their research area. All candidates must show a strong commitment to teaching excellence.

Preferred Qualifications

We value candidates who can contribute to the college's and the department's diversity initiatives. We further welcome experience with teaching or mentoring diverse groups of students, including first-generation college students, low-income students, racial and ethnic minorities, veterans, and women.

The University, College, and Department

The University of Texas at Arlington is a Carnegie Research-1 "highest research activity" institution. With a projected global enrollment of over 58,000 in AY 2018-19, UTA is the largest institution in the University of Texas System. Guided by its Strategic Plan Bold Solutions | Global Impact, UTA fosters interdisciplinary research within four broad themes: health and the human condition, sustainable urban communities, global environmental impact, and data-driven discovery. In 2018, U.S. News & World Report ranked UTA as the top public university in the nation for graduating students with the lowest average student debt. In its 2019 ranking, U.S. News & World Report ranked UTA tenth nationally for undergraduate diversity. UTA is a Hispanic-Serving Institution and the top four-year institution in Texas for veterans and their families to earn a college degree, according to Military Times.

The College of Engineering is home to seven departments: Bioengineering; Civil Engineering; Computer Science and Engineering; Electrical Engineering; Industrial, Manufacturing, and Systems Engineering; Materials Science and Engineering; and Mechanical and Aerospace Engineering. With more than 7,000 students, the College is one of the largest in Texas and offers the most comprehensive engineering degree programs in the region. It offers 11 baccalaureate, 14 master's, and 9 doctoral degree programs and has ties to numerous Fortune 500 companies in the region. The College is enjoying extraordinary growth in graduate and undergraduate student enrollment and in student graduation and has hired 36 new tenured/tenure-track faculty in the last three years. This growth has been concomitant with growth in research expenditures, collaboration, innovation, and entrepreneurship by faculty and students.

The Computer Science and Engineering Department has the most graduate students (879 in Fall 2018) in the College of Engineering and, with 2,242 students, is the College's largest department. CSE faculty are active in the areas of big data analytics; data mining; databases; machine learning; assistive technologies; biocomputing and health informatics; computer networks and cloud computing; computer vision and multimedia; information systems and mobile computing; machine learning and data mining; artificial intelligence; cyber physical systems and robotics; software engineering and cybersecurity; and high-performance and sustainable computing. The department is ranked #66 in the nation by csrankings.org (as of September 2018, based on average 2016-18 publication count) and several areas within it are ranked in the top-50, including AI (#47), databases (#18), and HPC (#18). In the last few years students and faculty in the department have received distinguished paper awards from prestigious conferences, including ASE, CIDR, CIKM, ECML PKDD, ICAC, ICDE, ICDM, ISSRE, ISSTA, IUI, PSIVT, SIGMOD, and VLDB.

Application Instructions

To apply, please go to: http://uta.peopleadmin.com/postings/7371

A complete application via the above URL should include a cover letter, curriculum vitae, research plans, teaching philosophy, and contact information of at least five references. Senior candidates should also include unofficial course evaluations.

Review of applications will start November 15 and will continue until the position is filled.

Questions about the openings should be addressed to hong.jiang@uta.edu.

EEO/AA Policy

UTA is an Equal Opportunity/Affirmative Action institution. Minorities, women, veterans and persons with disabilities are encouraged to apply. Additionally, the University prohibits discrimination in employment on the basis of sexual orientation. A criminal background check will be conducted on finalists. UTA is a tobacco free campus.