[Iefac.list] tenure-track/tenured faculty position at ASU

Rong Pan Rong.Pan at asu.edu
Wed Nov 8 11:58:27 EST 2017


Optimization or Applied Statistics Faculty Positions



The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) and the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) seeks applicants for tenure-track/tenured faculty positions in Optimization or Applied Statistics. Areas of interest include large-scale optimization, robust optimization, uncertainty quantification, data analytics, statistical learning, and computational statistics. The originality and potential impact of each candidate's work are higher priorities than the specific area of research.



The operations research group in the School of Computing, Informatics, and Decision Systems Engineering include faculty working on a variety of topics including deterministic optimization, stochastic optimization, simulation, networks, and supply chain engineering. The industrial statistics group include faculty working on quality and reliability engineering, design of experiments, data mining and machine learning, data visualization, and decision science. CIDSE currently leads the multidisciplinary DHS Center of Excellence, DOE Industrial Assessment Center, Center for Assured and Scalable Data Engineering, Information Assurance Center and Center for Cybersecurity and Digital Forensics at ASU. These centers frequently engage in collaborative activities with other schools and colleges across the university including the W.P. Carey School of Business, School of Sustainability, Department of Bioinformatics and the School of Mathematical and Statistical Sciences. The successful candidates will be encouraged to participate in and expand these collaborations.



Required qualifications include an earned Ph.D., or terminal degree, in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, or a closely related field. Required qualifications also include demonstrated evidence of research capability and commitment to teaching excellence. Desired qualifications include a record of acquiring external funding and publication in top-tier journals/conferences as appropriate to the candidate's rank, and a commitment to participating on and leading transdisciplinary teams addressing problems of high societal impact.

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 2018.



Review of applications will begin December 18, 2017; if not filled, reviews will occur on the 1st and 15th of every month thereafter until the search is closed. Apply at https://hiring.engineering.asu.edu/. Candidates will be asked to submit the following through their Interfolio Dossier:



Cover letter

Current CV

Statement describing research interests

Statement describing teaching interests

Contact information for three references

For more information or questions about this position, please contact the search committee chair, Professor Rong Pan at rong.pan at asu.edu.

=========================================================
Rong Pan, Ph.D.
Associate Professor
Program Chair of Industrial Engineering and Engineering Management
School of Computing, Informatics, and Decision Systems Engineering
Arizona State University
P.O. Box 878809
Tempe, AZ 85287-8809
Phone: (480) 965-4259

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