Professor (all ranks) in Quantum Computing and Information Sciences

Arizona State University; Tempe (AZ); On-site; USD 120,000 - 190,000; Full time

Job summary

Arizona State University is inviting applications for a tenure-track or tenured faculty position in Quantum Computing and Information Sciences within the Fulton Schools of Engineering and the School of Computing and Augmented Intelligence (SCAI). We welcome candidates who can advance research and education in quantum algorithms, architectures, and related areas.

The appointed rank may be Assistant, Associate, or Full Professor, with a start date in August 2027.

Qualifications

• PhD in a relevant field by time of appointment.
• Evidence of excellence in research appropriate to rank.
• Evidence of excellence in teaching appropriate to rank.

Responsibilities

• Contribute to curriculum development.
• Deliver instruction in-person and/or online.
• Supervise honors, master’s, and doctoral students.
• Conduct research suitable for publication in top-tier journals and conferences.
• Develop grant proposals for external funding as PI or co-PI.
• Participate in professional and internal service.

Skills

Research excellence

Teaching excellence

Education

PhD in Computer Science, Electrical Engineering, Mathematics, Physics, Industrial Engineering and Operations Research, or closely related field

Job description

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 learning
• Quantum architectures, software, systems, and control
• Quantum error correction and fault-tolerant quantum computing
• Quantum 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 development
• Deliver instruction in-person and/or online
• Supervise honors, master’s, and doctoral students
• Conduct research publishable in top-tier journals and/or conferences in the discipline
• Develop grant proposals for external funding as PI or co-PI
• Participate 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 appointment
• Evidence of excellence in research, as appropriate to the candidate's rank
• Evidence 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 program
• Commitment to teaching at both the graduate and the undergraduate levels
• Commitment to a collaborative, transdisciplinary approach to research and teaching