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Position Number: 00102644
Primary Function of Organization Unit: As one of the leading land-grant institutions in the nation, North Carolina State University is proud to announce the continuation of its Chancellor's Faculty Excellence Program, a major initiative of the University's 2011-2020 strategic plan, "The Pathway to the Future." NC State aims to hire forty-three faculty members in twelve research areas or "clusters" to promote interdisciplinary scholarship and the development of innovative curricula in emerging areas of strategic strength. In the past two years, NC State has hired twenty-four cluster faculty members and this year intends to hire another nineteen faculty to complete the first cohort of its cluster hire program.
Essential Job Duties: The research cluster in Data-Driven Science is seeking three outstanding candidates and invites all nationally recognized scholars conducting high-impact research and education in this area to apply. While being flexible and open to any strong candidates in this research focus, there is particular interest in growing NC State's expertise in Applied Discrete Mathematics, Text Analytics and Machine Learning, and High Performance Data Systems. 1. Applied Discrete Mathematics: This position would be the most theoretical element in the cluster, though still very much motivated by applications like analyzing sensor network coverage, effectively modeling the internet, social networks, analyzing massive data sets, etc. The focus is on graph theory related to random graphs, computational topology/geometry or other closely related topics. 2. Text Analytics: This position focuses on text analytics with a potential hire in natural language processing, spoken language systems, information retrieval, word sense disambiguation, language understanding or machine learning. 3. High Performance Data Systems: This position focuses on research of new methods for storing, manipulating and accessing large-scale data sets. We expect this faculty member to apply skills and knowledge to cloud computing, multi-core hybrid systems and accelerators, resilience of algorithms and large systems, service-oriented architectures, storage technologies, metadata and provenance management. While our goal is to hire strong candidates at the Associate or Full Professor levels, exceptional Assistant Professors with strong research and funding records will also be considered. The anticipated home department is Mathematics or Computer Science with potential for joint appointments in other departments. Because this hire will be part of an interdisciplinary cluster-hiring program, it is expected that the successful candidate form a robust collaborative research core that attracts existing faculty with strong skills in complementary areas.
Minimum Education/Experience: The candidate should have an earned doctorate in Computer Science, Mathematics, Statistics or other related field.
Department Required Skills : Successful candidates will be expected to develop a vigorous externally funded research program, demonstrate a commitment to excellence in teaching and foster collaborations between departments. Priority will be given to candidates that have demonstrated a passion for interdisciplinary collaborations that cut across academic units. Successful candidates will be recognized as a pioneering leader in the development of new approaches for large-scale data-enabled sciences and have experience in initiating, growing and managing research efforts and a record of established extramural funding. The candidate should have a strong capacity to teach at both the undergraduate and graduate levels, including the capacity to mentor doctoral students and postdoctoral fellows.
Preferred Experience, Skills, Training/Education: Preference will be given to dynamic individuals with demonstrated leadership skills that have a clear vision for practical problems in large-scale analytics and the technical skills to develop advanced solutions. Strongly prefer at least three years of experience conducting high-impact research in a university, private sector, government or non-profit organization.
Necessary Licenses and Certifications: N/A
AA/EOE: AA/EOE. In addition, NC State welcomes all persons without regard to sexual orientation. Persons with disabilities requiring accommodations in the application and interview process please call (919) 515-3148. Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. If highest degree is from an institution outside of the U.S., final candidates are required to have their degree verified at www.wes.org. Degree must be obtained prior to start date.
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