> Markdown version of [/jobs/ext/4185995-open-rank-faculty-position-in-foundational-artificial-intelligence](https://www.wearedevelopers.com/jobs/ext/4185995-open-rank-faculty-position-in-foundational-artificial-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Open-Rank Faculty Position in Foundational Artificial Intelligence

- **Company:** Rice University
- **Location:** Houston, TX, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Electrical and Computer Engineering, Information Technology
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=67727766354dbbb1

## About the Role

Qualifications: Applicants must hold a Ph.D. in statistics, electrical engineering, computing, or a closely related field by the time of appointment.

## Description

The George R. Brown School of Engineering and Computing at Rice University in Houston, Texas, invites applications for one open-rank faculty position in foundational artificial intelligence. The appointment may be made at the tenure-track Assistant Professor level or at the tenured Associate Professor or Full Professor level, commensurate with the candidate's qualifications and experience, with an anticipated start date of July 1, 2027.

We seek candidates who advance the statistical, mathematical, computational, or algorithmic foundations of artificial intelligence (AI) and scientific machine learning. Applicants are encouraged to articulate their own vision of how their research agenda will shape the future of foundational AI, whether by building on established areas or opening new directions. Outstanding candidates whose work advances foundational AI in other areas are also encouraged to apply.

Successful candidates will demonstrate deep, original contributions to AI scholarship and the potential to shape the future of the field. Rice seeks faculty who embrace a culture of excellence, innovation, collaboration, responsible technological development, and inclusive mentorship. Excellence in research and teaching will be the primary criteria for evaluation.

Responsibilities
The selected candidate will be expected to establish or maintain a vigorous, externally funded research program with national and international recognition; conduct innovative research and disseminate results through high-impact publications, conferences, and other scholarly activities; and teach undergraduate and graduate courses aligned with their expertise. Additional responsibilities include advising and mentoring undergraduate, graduate, and postdoctoral researchers; contributing to departmental, school, university, and professional service; and fostering interdisciplinary collaborations within Rice and with external partners. The successful candidate will demonstrate a strong commitment to excellence in teaching, advising, and mentoring students from a broad range of backgrounds and experiences and will contribute to the continued strength of undergraduate and graduate education across the department and the George R. Brown School of Engineering and Computing. Rice's highly
collaborative environment provides opportunities to engage with researchers in materials science, computational science, energy, advanced manufacturing, biomedical engineering, and other disciplines., 1. Curriculum vitae

 2. Research statement, up to five pages
 3. Statement of teaching philosophy, up to two pages
 4. Names and contact information for three to five professional references. Letters of reference will be requested only if the candidate advances to the interview stage.

Applicants will also be asked in Interfolio to indicate their first and second preferred home departments from the following eligible options: Statistics, Computer Science, and Electrical and Computer Engineering.