Faculty Position: Computational Modeling and Data Analytics
Virginia Tech has a tenure-track opening to support its Computational Modeling and Data Analytics (CMDA) program (www.science.vt.edu/ais/cmda), to start Fall 2014 at our Blacksburg, VA Campus. Appointment at the rank of Assistant Professor is preferred, but higher ranks will be considered for exceptional candidates. Job requirements include a Ph.D. in statistics or a closely related field; a research focus in data analytics, machine learning, data mining, stochastic modeling/inference, or any related branch of computationally intensive statistical methods; and teaching experience.
The CMDA program, a multi-department effort including the Department of Statistics (www.stat.vt.edu), resides within the College of Science’s Academy of Integrated Science (www.science.vt.edu/ais). As the college’s home for interdisciplinary degrees, the Academy works with academic departments campus-wide to develop and support new directions in scientific research and education. Applications from researchers whose work and goals straddle traditional academic boundaries are especially encouraged. The successful candidate for this position will be affiliated with the Department of Statistics.
How to apply:
Questions regarding the position can be directed to Professor J. P. Morgan (Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.). Applications must be submitted online at http://listings.jobs.vt.edu (#TR0130073) and should include a cover letter, curriculum vitae, a research plan, and a statement of teaching philosophy that describes an integrated vision for education. Arrange for three letters of reference to be e-mailed to Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.. Review of applications will begin on December 2, 2013 and continue until the position is filled.
Virginia Tech is an EO/AA university, and offers a wide range of networking and development opportunities to women and minorities in science and engineering. Individuals with disabilities desiring accommodation in the application process should notify Ms. Mikhelle Taylor, College of Science,(540) 231-5422, or call TTY 1-800-828-1120.
