Professor (all ranks) in AI for Infrastructure and Supply Chain Resilience

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 AI for Infrastructure and Supply Chain Resilience. SCAI (https://scai.engineering.asu.edu/), one of the eight Fulton Schools, houses vibrant Industrial Engineering and Computer Science research communities (learn more at https://research.engineering.asu.edu/). We are seeking applicants who can strengthen our research and educational efforts through foundational and use-inspired AI methods that improve the resilience of infrastructure systems and supply chain networks. Particular areas of interest include, but are not limited to: Machine learning and optimization for planning, control, and decision-making under uncertaintyGraph and network learning, causal inference, data fusion, simulation, and digital twinsDisruption detection, forecasting, cascading-failure analysis, and recovery planningTrustworthy and human-centered AI for resilient infrastructure and supply chain networks 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 engineering, computer science, operations research, data science, supply chain management, 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 collaborative, transdisciplinary research and teaching