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Purdue University has identified \u201cBig Data\u201d as a major thrust for interdisciplinary research and education. Several faculty positions, including one in the Libraries, 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 area and will have a unique opportunity to help shape Purdue\u2019s vision and research\/education agenda in managing collections of scientific data.<\/span><\/p>\n Responsibilities:<\/span><\/strong> Candidates for tenure and tenure-track positions at the Assistant\/Associate professor level will be considered.\u00a0 Strong interest in interdisciplinary activities is required.\u00a0 Outstanding candidates with an interest in all data-related areas of computer science and engineering, physics, civil engineering and library science will be considered.\u00a0 Examples of specific fields of interest are data curation and preservation, <\/span>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 applications in domain sciences<\/span>. A<\/span> detailed description of open positions is available at <\/span>http:\/\/www.cs.purdue.edu\/hiring\/bigdata<\/span><\/a>.<\/span><\/p>\n Qualifications:<\/span><\/strong> Candidates must hold either a MLS from an ALA accredited university or a PhD degree in one of the above-mentioned areas or in a closely related discipline. \u00a0Successful candidates will have demonstrated potential for excellence in research, and be committed to excellence in teaching. \u201cBig Data\u201d faculty will be expected to teach undergraduate and graduate courses, conduct research in their field of expertise, and participate in interdisciplinary \u201cBig-Data\u201d activities.\u00a0<\/span><\/p>\n