Professor of Computer Science, Statistics, or Applied Mathematics; rank

The Center for Science, Technology, Engineering & Mathematics (CSTEM) at the University of Austin invites applications and nominations for full-time faculty (any rank). Applicants should have a strong interest in teaching undergraduate STEM courses and conducting research. As a new university, we seek to hire faculty at all levels, with particular needs for faculty specialized in computer science, statistics, applied mathematics, and artificial intelligence
. 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.

• 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

• Ph.D. in a STEM discipline, or 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

This is a full-time faculty position, open rank (assistant, associate, or full professor), with a start date as early as Summer 2026 and is an ongoing search. While UATX does not offer tenure, this line carries a comparable expectation of long-term stability.

• 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
• Evidence of teaching excellence, or other materials relevant to classroom experience