Professor of Computer Science, Statistics, or Applied Mathematics (any 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. 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. Qualifications 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. 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 and is an ongoing search. 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 Evidence of teaching excellence, or other materials relevant to classroom experience #J-18808-Ljbffr