Virginia Tech Collegiate Faculty in Blacksburg, Virginia

Virginia Tech ( a faculty opening in the Department of Statistics ( to start Fall 2018 at our Blacksburg, VA campus. Appointment at the rank of collegiate assistant professor is preferred, but the collegiate associate faculty level will be considered for exceptional candidates. This is a full-time multi-year appointments (three years for assistant professors and five years for associate professors) with multi-year renewal upon successful review.

We seek candidates who are passionate about teaching statistics to undergraduate and graduate students. Responsibilities include teaching three courses per semester, where successful candidates will: • make significant contributions to our instruction in statistics, which includes modern computationally-intensive and massive data methods, as well as data science and analytics more broadly; • coordinate introductory and service courses, engage in a variety of significantly growing statistics curricula across the university, and lead efforts in curriculum enhancements and innovative pedagogy; • continue to develop professional capabilities and participate in scholarly activities, including travel to and participation in professional conferences and societies; and, • participate in department, college, and university service and governance, as well as professional service.

The faculty handbook (available at provides a complete description of faculty responsibilities.

This position is part of a major emphasis on statistics, including computational modeling, data science and analytics, and empirical decision making at Virginia Tech. This position will support of the Computational Modeling and Data Analytics (CMDA) program ( CMDA, a multi-department effort including not just Statistics but also the Departments of Mathematics and of Computer Science, represents an entirely new approach to training quantitative scientists, one that develops foundations for, knowledge of, and skills in computationally intensive techniques for modeling and inference.

Successful applicants will also have the opportunity to be key players in the creation of the university’s “Data Analytics and Decision Sciences” destination area ( This is a rare opportunity to help develop and grow a truly innovative approach to education and research. Applications from researchers whose work and goals straddle traditional academic boundaries are especially encouraged.