The Fulton Schools of Engineering at Arizona State University (ASU) seek applicants for tenure-track/tenured faculty positions in Industrial Statistics/Stochastic Optimization. Areas of interest include: methodologies for big data, computational statistics, and applications in IoT, data analytics, image/text/voice processing, however the vision, leadership potential and record of accomplishments is a higher priority than the specific area of research.
The data management, analytics, and assurance group in the School of Computing, Informatics, and Decision Systems Engineering includes faculty working on a variety of topics including data mining and machine learning, statistical analysis, multimedia, visualization, data storage, query processing, and security. Extensive collaborations exist across the university, including BioDesign Institute, Global Institute of Sustainability, and Institute of Humanities Research. The current openings are intended to broaden this expertise and expand collaborations.
Faculty members are expected to develop an internationally recognized and externally funded research program, adopt innovative educational practices in graduate and undergraduate education, develop and teach graduate and undergraduate courses, advise and mentor graduate and undergraduate students, and undertake service activities.
Appointments will be at the assistant, associate or full professor rank commensurate with the candidate’s experience and accomplishments, starting August 2017. Although appointments may be in any of Fulton Engineering’s six schools, the Computer Science and Industrial Engineering programs are currently the most involved in big data.
- A doctorate or equivalent in computer science, industrial engineering, statistics or related field
- Demonstrated evidence of excellence in research and teaching as appropriate to the candidate’s rank
- Record of acquiring external funding and publication in top-tier journals/conferences with real-world impact
- Commitment to a trans-disciplinary approach to research and teaching
How to apply:
To apply, please visit engineering.asu.ed/hiring and submit the following materials to the email specified for Industrial Statistics/Stochastic Optimization (11778):
- Cover letter
- Current CV
- Statements describing research and teaching interests
- Contact information for three references
Review of applications will begin December 9, 2016; if not filled, reviews will occur on the 1st and 15th of every month thereafter until the search is closed.
For further information or questions about this position please contact the search committee chair Regents Professor Doug Montgomery at firstname.lastname@example.org
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) and the Title IX statement.
ASU offers applicants an opportunity to voluntarily disclose information for the University’s affirmative action plan; applicants may complete an EEO survey for the position they are applying for online.
Information you’ll need to complete the survey:
Job Number: 11778
Job Title: Industrial Statistics
Department Name: Engineering