Purdue University has identified "Big Data" as a major thrust for inter-
disciplinary research and education. Several faculty positions are available
in enabling technologies as well as in domain sciences that deal with the use
and management of digital data. The new hires will join a strong faculty group
engaged in this thrust area and will have a unique opportunity to help shape
Purdue's vision and research/education agenda in "Big Data".
Responsibilities: Candidates for tenure and tenure-track positions at the
Assistant/Associate professor level will be considered.
Strong interest in inter-disciplinary activities is
required. Outstanding candidates with an interest in all
data-related areas of computer science and engineering, physics, civil
engineering and library science will be considered.
Examples of specific fields of interest are data
infrastructure (storage and networking), system software infrastructure (OS,
programming models), scalable analytics (data mining and machine learning at
scale), analytics presentation (information visualization) and data-enabled
methods (data curation and preservation) and applications in domain sciences.
Qualifications: Candidates must hold a PhD degree in one of the above-
mentioned areas or in a closely related discipline, or an MLS for appointment
within the Libraries faculty, have demonstrated potential for excellence in
research, and be committed to excellence in teaching. Successful candidates
will be expected to teach undergraduate and graduate courses, conduct research
in their field of expertise, and participate in interdisciplinary "Big-Data"
Applications: Salary and benefits are highly competitive. Submit applications
online at https://engineering.purdue.edu/Engr/InfoFor/Employment/ptApplication
?position_ids%3Alist=79 (APPLY HERE). The application should include a cover
letter, a complete and detailed vitae, and statements of research and teaching
interests. Also, please include names, addresses, telephone numbers, and email
addresses for three or more references. For questions regarding the
application process, please contact Nicole Piegza ([log in to unmask]).
Applications for positions to begin in Fall 2013 are now being considered; the
review will continue until the positions are filled. A background check will
be required for employment in these positions. Hard copy applications can be
sent to: Big Data Search Chair, Department of Computer Science, 305 N.
University Street, Purdue University, West Lafayette, IN 47907.
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