Professor (all ranks) in Quantum Computing and Information Sciences

The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) and the School of Computing and Augmented Intelligence (SCAI) seek applicants for a tenure-track or tenured faculty position in Quantum Computing and Information Sciences. SCAI (https://scai.engineering.asu.edu/), one of the eight Fulton Schools, houses a vibrant Industrial Engineering and Computer Science Engineering research community (learn more at https://research.engineering.asu.edu/). We are seeking applicants who can strengthen our research and educational efforts in quantum computing and information sciences. Particular areas of interest include, but are not limited to: Quantum algorithms, simulation, optimization, and quantum machine learningQuantum architectures, software, systems, and controlQuantum error correction and fault-tolerant quantum computingQuantum communication, networking, and sensing We search for applicants who will contribute to our academic programs, promote transdisciplinary teaching and research, and help the university to achieve its aspirations, including enabling student success, transforming society, valuing entrepreneurship, and conducting use-inspired research. Faculty members in the Fulton Schools are expected to develop an internationally recognized and externally funded research program, adopt effective pedagogical practices in the development and delivery of undergraduate and graduate courses, advise both undergraduate and graduate student research and projects, and undertake service activities. Appointments will be at the Assistant, Associate, or (full) Professor rank commensurate with the candidate's experience and accomplishments, beginning August 2027. Essential Functions Contribute to curriculum developmentDeliver instruction in-person and/or onlineSupervise honors, master’s, and doctoral studentsConduct research publishable in top-tier journals and/or conferences in the disciplineDevelop grant proposals for external funding as PI or co-PIParticipate in professional and internal service Required Qualifications Earned doctorate or equivalent in Computer Science, Industrial Engineering and Operations Research, Electrical Engineering, Mathematics, Physics, or a closely related field by the time of appointmentEvidence of excellence in research, as appropriate to the candidate's rankEvidence of excellence in teaching, as appropriate to the candidate's rank Desired Qualifications Potential (for junior applicants) or evidence (for senior applicants) for establishing an externally funded research programCommitment to teaching at both the graduate and the undergraduate levelsCommitment to a collaborative, transdisciplinary approach to research and teaching