The Department of Computer Science of the University of Texas at Austin invites applications for tenure-track faculty positions. Outstanding candidates in all areas of Computer Science will be considered with particular attention given to candidates working in Computer Systems (particularly security, architecture, and databases), Artificial Intelligence/Machine Learning and its applications, particularly Scientific Machine Learning, and Quantum Computing.
Applicants whose research programs broadly align with foundational and generative AI are especially encouraged to apply, as multiple positions in these areas may be available through UT Austin’s Cluster Hiring Program in AI and Data Analytics (AI DA). Candidates who are particularly well suited to the AI DA cluster hiring program will be given the option to be considered for this opportunity and may be asked to submit additional materials to the cluster hiring committee.
Qualifications
All tenure-track positions require a Ph.D. or equivalent degree in computer science or a related area at the time of employment. Successful candidates are expected to pursue an active research program, to teach both graduate and undergraduate courses, and to supervise graduate students in research.
Application Instructions
All faculty positions require a cover letter, current curriculum vita, research statement, teaching statement and selected publications. For all positions, at least three (3) reference letters are required.
Review of applications will begin on December 1, 2024, with an application deadline of December 16, 2024. Applications received after the deadline are not guaranteed full consideration. Inquiries about your application may be directed to faculty-search@cs.utexas.edu.
Equal Employment Opportunity Statement
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
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