Applied Statistics, Data analysis/processing, Mathematics
The Chancellor’s Faculty Excellence Program (CFEP) faculty cluster in Data-Driven Science at NC State University is seeking an outstanding candidate and invites all scholars conducting high-impact research and education in large-scale data-enabled science to apply. CFEP is a cluster hiring initiative designed to bring some of the best and brightest minds to join NC State’s interdisciplinary efforts, and to solve some of the world’s most significant problems. We invite you to learn more about the CFEP and this cluster at https://facultyclusters.ncsu.edu.
Although our goal is to hire at the tenured Associate or Full Professor level, the position is open rank and all exceptional candidates will be considered. Because this hire will be part of an interdisciplinary cluster-hiring program, it is expected that the successful candidate will help form a robust collaborative research, training, and education core that attracts existing faculty with strong skills in complementary areas. Faculty in the Data-Driven Science cluster have a strong methodological, modeling, computing, and/or analytic focus combined with a diverse set of interdisciplinary application areas. The candidate will be expected to assume a leadership role in the NC State Data Science Initiative, which focuses on the development of cross-college research, education, and infrastructure initiatives.
The anticipated home department is Computer Science, Mathematics, or Statistics, with potential for joint appointments between these departments or in other departments.
Review of applications will begin December 15 and continue until the position is filled.
Questions, confidential inquiries, and nominations may be directed to Dr. Alyson Wilson, Professor, Department of Statistics email@example.com, 919-515-1901.
NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process, please call 919-515-3148.
The candidate should have an earned doctorate in Computer Science, Mathematics, Statistics, Electrical Engineering, Data Science, or other related field and at least three years of experience conducting high-impact research in a university, private sector, government or non-profit organization.
Internal Number: 00102682
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