Position: Professor (all ranks) in High Performance Big Data Systems 
          Arizona State University
          School of Computing, Informatics, and Decision Systems Engineering (CIDSE)

The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) and the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) is seeking applicants for tenure-track/tenured faculty positions in big/fast/scalable data systems.  

Areas of interest include high performance and scalable systems to support management, processing, and analytics of massive, heterogenerous, and real-time data sets, through innovations in database systems, distributed systems, operating systems, storage systems, and networking systems. Candidates with application interest in one or more of our key research thrust areas of Health, IoT, and Sustainability are particularly encouraged to apply. 

CIDSE currently houses ASU's Center for Assured and Scalable Data Engineering, Center for Cybersecurity and Digital Forensics, and Center for Accelerating Operational Efficiency and have faculty working on a variety of relevant topics including in data management, data mining and machine learning, high performance computing, data storage, data security, and information visualization.  The current openings are intended to broaden and strengthen this expertise, which is crucial to university initiatives and velocity. 

Faculty members are expected to develop an internationally recognized and externally funded research program, advise and mentor graduate and undergraduate students, develop and teach graduate and undergraduate courses, adopt innovative educational practices in graduate and undergraduate education, and undertake intra-mural and extra-mural service activities. ASU strongly encourages transdisciplinary collaboration and use-inspired, socially-relevant research.  Although the tenure home may be in any of the Engineering’s six schools, the Computer Science and Engineering program in the School of Computing, Informatics, and Decision Systems Engineering is currently the most involved in this search. 

QUALIFICATIONS

Required qualifications include an earned PhD, or terminal degree, in Computer Science and Engineering or a closely related field.  Required qualifications also include demonstrated evidence of excellence in research and teaching as appropriate to the candidate’s rank. Desired qualifications include publications in top-tier journals/conferences, a commitment to participating on and/or leading transdisciplinary teams addressing problems of high societal impact, and for applicants to senior positions, a record of acquiring external funding.

Appointments will be at the Assistant, Associate, or Full Professor rank commensurate with the candidate’s experience and accomplishments, beginning August 2019.

APPLICATION INSTRUCTIONS

Review of applications will begin December 14, 2018; if not filled, reviews will occur on the 1st and 15th of every month thereafter until the search is closed.  

ASU is using Interfolio's Faculty Search to conduct this search.  Please visit https://apply.interfolio.com/57090 to submit your

*	Cover letter
*	Current CV
*	Statement describing research interests
*	Statement describing teaching interests
*	(Optional) A diversity statement
*	Contact information for at least three references

For further information or questions about this position please contact Professor K. Selcuk Candan at (candan@asu.edu)

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/