The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) seek applicants for a tenure-track/tenured faculty position in Theoretical Foundations and Applications of Data-Driven Optimization in the School of Computing, Informatics, and Decision Systems Engineering (CIDSE). Researchers with interests in the theoretical aspects of data-driven decision making, algorithms, and computation (broadly defined) are encouraged to apply. Areas of research interests include, but are not limited to, manufacturing, large scale intelligent transportation and logistics, data-driven health care systems, critical infrastructures, cyber physical systems, and other emerging areas of data-driven decision making.
Given the recent nexus of Operations Research and Analytics, there is a large surge in demand for graduates that have deep knowledge of computational operations research methods and are well versed with tools such as machine learning, and, more broadly, AI. The decision analytics, optimization, and algorithms groups in ASU’s School of Computing, Informatics, and Decision Systems Engineering include faculty working on a variety of topics spanning the theoretical aspects and the more applied sides of data-rich systems. Extensive collaborations exist with other world-class groups and research centers within our school and across the university, including the AI and Machine Learning groups, the Cybersecurity group, the Robotics group, the DHS Center for Accelerating Operational Efficiency, the Bio-Design Institute, Global Security Initiative, and the Global Institute of Sustainability.
We seek applicants who will contribute to our programs and expand collaborations with existing faculty at ASU. Located in Tempe with easy access to the outdoors and urban amenities, ASU's vibrant and innovative approaches to research and teaching are charting new paths in education and research in the public interest. Faculty members are expected to develop an internationally recognized and externally funded research program, develop and teach graduate and undergraduate courses, advise and mentor graduate and undergraduate students, and undertake service activities. ASU strongly encourages transdisciplinary collaboration and use-inspired, socially relevant research. Successful candidates will be encouraged to expand expertise and collaborations in these areas. Although the tenure home may be in any of the Ira A. Fulton Schools of Engineering, the School of Computing, Informatics, and Decision Systems Engineering is currently the most involved in the interest areas of this research.
Appointments will be at the Assistant, Associate, or Full Professor rank commensurate with the candidate’s experience and accomplishments, beginning August 2020.
Application deadline is December 9, 2019. Applications will continue to be accepted on a rolling basis for a reserve pool. Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled. Apply at https://hiring.engineering.asu.edu/. Candidates will be asked to submit the following through their Interfolio Dossier:
Statement describing research interests
Statement describing teaching interests
(Optional) A short diversity statement
Contact information for at least three references
For further information or questions about this position please contact Assistant Professor Giulia Pedrielli at (email@example.com)
Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will be considered without regard to race, color, sex, religion, national origin, disability, protected veteran status, or any other basis protected by law. See ASU’s full non-? discrimination statement (ACD 401) at https://www.asu.edu/aad/manuals/acd/acd401.html and the Title IX statement at https://www.asu.edu/titleIX/
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Required qualifications: Earned doctorate or equivalent in industrial engineering, operations research, data science, or closely related field by the time of appointment. Demonstrated evidence of excellence in research and teaching as appropriate to the candidate’s rank. Desired qualifications: Commitment to teaching at both the graduate and the undergraduate levels, strong record of publications in top-tier venues and the potential for establishing an externally funded research program.
Internal Number: 15158
About Arizona State University
Arizona State University is a comprehensive public research university, measured not by whom it excludes, but by whom it includes and how they succeed; advancing research and discovery of public value; and assuming fundamental responsibility for the economic, social, cultural and overall health of the communities it serves.