Purdue University has identified "Big Data" as a major thrust for interdisciplinary 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 unique opportunities to help shape Purdue’s vision and research/education agenda in "Big Data."
Responsibilities: Candidates for tenure and tenure-track positions at Assistant/Associate Professor levels will be considered. Strong interests in interdisciplinary activities are required. Outstanding candidates with interests 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), sensing (remote sensing and multi-sensor systems) and data-enabled methods (data curation and preservation) and applications in domain sciences (e.g., collection and use of large data sets to support research related to earthquake engineering, structural engineering, geotechnical engineering, water resources and disaster mitigation).
Qualifications: Candidates must hold PhD degrees in one of the above-mentioned areas or in closely related disciplines or MLS degrees for appointments 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 fields of expertise and participate in interdisciplinary "Big-Data" activities.
Applications: Salaries and benefits are highly competitive. Submit applications online, at http://eng.purdue.edu/BigData. A complete application should include a cover letter, a complete and detailed vita and statements of research and teaching interests. Also, please include the names, addresses, telephone numbers and email addresses of three or more references. For questions regarding the application process, please contact Nicole Piegza (firstname.lastname@example.org). Applications for positions to begin in Fall 2014 are now being considered; the review will continue until the positions are filled. Background checks will be required for employment in these positions. Hard copy applications can be sent to: Faculty Search Chair, Department of Computer Science, 305 N. University Street, Purdue University, West Lafayette, IN 47907.