Professor of Computer Science, Statistics, or Applied Mathematics (any rank)

Responsibilities

• Teach a full load of six quarter-length courses per year (typically two per term), contributing to the development of undergraduate syllabi for core courses and bringing creativity and breadth of knowledge to classroom design.
• Participate actively in faculty meetings, guest lectures, and campus events, helping to sustain and enrich the university's intellectual life.
• Mentor students with an interest in STEM, guiding their academic development and plans.
• Advance UATX's mission of civil discourse by fostering an environment of open inquiry in both teaching and research, modeling academic freedom and respectful debate.

Requirements

• Ph.D. in Computer Science, Statistics, Applied Mathematics, or a closely related field.
• Demonstrated record of excellence in teaching at the undergraduate level.
• Strong commitment to UATX's mission of free inquiry, open debate, and intellectual diversity.
• Appointment & Support
• This is a full-time faculty position, open rank (assistant, associate, or full professor), with a start date as early as Summer 2026. While UATX does not offer tenure, this line carries a comparable expectation of long-term stability.
• Applicants should submit:
• Cover letter describing interest in the position and alignment with UATX's mission
• Curriculum vitae
• Contact information for three professional references
• Writing sample or published research
• Optional: teaching portfolio, evidence of teaching excellence, or other materials relevant to classroom experience
• The University of Austin
• The Center for Science, Technology, Engineering & Mathematics (CSTEM)
• EEO / AA Statement of Non-Discrimination

Additional Information

The Center for Science, Technology, Engineering & Mathematics (CSTEM) at the University of Austin invites applications and nominations for a full-time Professor of Computer Science, Statistics, or Applied Mathematics (any rank) to begin as early as Summer 2026. Applicants should have a strong interest in teaching undergraduate STEM courses and conducting research. As a new university entering our third year of full-time operations, we seek to hire faculty at all levels with particular needs for artificial intelligence, data science, computer science, and computational modeling. The ideal candidate will be comfortable with interdisciplinary collaboration and quantitative rigor. Qualified candidates should have a Ph.D. in a relevant discipline or a degree conferred by the start date.

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