Tenure Track Professor - Computer Science and Engineer

The Computer Science and Engineering Department at The University of Texas at Arlington invites applications for multiple open-rank (tenured/tenure-track) faculty positions across all areas of Computer Science and Engineering. The tentative start date of all positions will be in Fall 2026. Fields of interest include, but are not limited to, cybersecurity, with a particular focus on security challenges arising from generative artificial intelligence, as well as the broader domains of artificial intelligence and machine learning, encompassing their theoretical foundations and applications in healthcare, biomedical research, and other scientific, engineering, and social disciplines. Our key objective is to hire faculty members with outstanding qualifications, who share the universityand#x2019;s core values of high standards of excellence in teaching, innovative research, and service, combined with promoting participation of all student groups. A major emphasis will be potential research collaboration within and outside the department..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 professional service within UTA and the research community..Candidates must have earned (by the start date) a Ph.D. degree in Computer Science, Computer Engineering, or a related area. Candidates must have demonstrated exceptional research promise by publishing in top-tier conferences and journals. Candidates for senior positions must have demonstrated their leadership in their research area and the professional community. All candidates must show a strong commitment to teaching excellence..We value candidates who can contribute to the collegeand#x2019;s and the departmentand#x2019;s broadening participation in computing initiatives. We further welcome experience with teaching or mentoring varying groups of students, including first-generation college students, low-income students, and veterans.