Faculty in Big Data

The Ira A. Fulton Schools of Engineering at Arizona State University seek applicants for tenure-track/tenured faculty positions in Big Data. Areas of interest include: management, analytics, mining or visualization of massive data sets to grow our efforts in the important thrust areas of Health, Energy, Sustainability and Security.

The data management and analytics group in the Fulton Schools of Engineering includes faculty working on a variety of topics including data mining and machine learning, statistical analysis, multimedia, visualization, data storage and query processing. 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.

The successful candidate will hold an earned Ph.D. or equivalent in computer science, engineering, or related field. Required qualifications also include demonstrated evidence of excellence in research and teaching as appropriate to the candidate's rank. Desired qualifications include a commitment to trans-disciplinary teaming.

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.

Appointments will be at the assistant, associate or full professor rank commensurate with the candidate's experience and accomplishments, starting August 2013. Although appointments may be in any of Fulton Engineering's five schools, the Computer Science and Industrial Engineering programs in the School of Computing, Informatics, and Decision Systems are currently the most involved in big data.

_Contact_:
Review of applications will begin November 1, 2012; if not filled, reviews will occur on the 1st and 15th of every month thereafter until the search is closed.

To apply, please submit as a single PDF file a current CV, statements describing research and teaching interests and contact information for three references to bigdata.faculty@asu.edu.

For further information or questions about this position please contact the search committee chair Professor K. Selcuk Candan at candan@asu.edu.

Arizona State University is an equal opportunity/affirmative action employer. Women and minorities are encouraged to apply.

ASU's complete non-discrimination statement can be found at: www.asu.edu/titleIX

ASU offers applicants an opportunity to voluntarily self-disclose information for the University's affirmative action plan; applicants may complete an EEO survey for the position they are applying for by clicking this link.

Information you'll need to complete the survey:
Job order number: 10213
Job Title: Big Data
Department Name: Engineering