Professor (All Ranks) in Industrial Statistics and Data Science

Arizona State University
Tempe, Arizona 85281
  • Job Type
  • Job Status
    Full Time

The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) seek applicants for a tenure-track/tenured faculty position in Industrial Engineering in the School of Computing, Informatics, and Decision Systems Engineering (CIDSE). Areas of interests include, but are not limited to statistical modeling, data science and analytics, and machine learning for data-driven decision making, with strong ties to impact-driven domains such as energy, advanced manufacturing, production control, health care, robotics and automation, quality and reliability engineering, IoT, transportation, etc. The candidate’s vision, leadership, potential, and record of accomplishments is a higher priority than the specific area of research.     

CIDSE offers extensive collaborations with world-class research groups within the school and across the university in areas such as artificial intelligence, cybersecurity, robotics, operations research, infrastructure, sustainability, visual analytics, and through research centers such as the DHS Center for Accelerating Operational Efficiency (, the ASU-Mayo Center for Innovative Imaging (, the Information Assurance Center (, the Center for Cybersecurity and Digital Forensics (, the Center for Assured and Scalable Data Engineering (, the Biodesign Institute (, and the Global Institute of Sustainability ( The current opening is intended to broaden this expertise and expand collaborations. 

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 16, 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 Candidates will be asked to submit the following through their Interfolio Dossier:

Cover letter

Current CV

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 Dr. Jorge A. Sefair at ( 

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 TitleIXstatementat

 In compliance with federal law, ASU prepares an annual report on campus security and fire safety programs and resources.  ASU’s Annual Security and Fire Safety Report is available online at  You may request a hard copy of the report by contacting the ASU Police Department at 480-965-3456.


Required qualifications:  Earned doctorate or equivalent in industrial engineering 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: a record of acquiring external funding and publication in top-tier journals/conferences with real-world impact and a commitment to a trans-disciplinary approach to research and teaching. 


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Professor (All Ranks) in Industrial Statistics and Data Science

Arizona State University
Tempe, Arizona 85281

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