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<div class="column"><p><span style="font-size: 14.000000pt; font-family: 'Arial'; font-weight: 700; color: rgb(33.300000%, 33.300000%, 33.300000%)">Faculty Position, Computational Modeling and Data Analytics
</span></p><p><span style="font-size: 10.000000pt; font-family: 'ArialMT'">Virginia Tech has a tenure-track opening in its Statistics Department (</span><span style="font-size: 10.000000pt; font-family: 'ArialMT'; color: rgb(0.000000%, 0.000000%, 100.000000%)"><a href="http://www.stat.vt.edu">www.stat.vt.edu</a></span><span style="font-size: 10.000000pt; font-family: 'ArialMT'">) to start Fall 2015
at our main Blacksburg, VA Campus. Appointment at the rank of assistant professor is preferred, but the
associate level 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, interactive data visualization, or any related branch of computationally
intensive statistical methods; and teaching experience.
</span></p><p><span style="font-size: 10.000000pt; font-family: 'ArialMT'">This position is in support of our new Computational Modeling and Data Analytics (CMDA) program
(</span><span style="font-size: 10.000000pt; font-family: 'ArialMT'; color: rgb(0.000000%, 0.000000%, 100.000000%)"><a href="http://www.science.vt.edu/ais/cmda">www.science.vt.edu/ais/cmda</a></span><span style="font-size: 10.000000pt; font-family: 'ArialMT'">). 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. 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.
</span></p><p><span style="font-size: 10.000000pt; font-family: 'ArialMT'">Questions regarding the position can be directed to Professor J. P. Morgan (<a href="mailto:jpmorgan@vt.edu">jpmorgan@vt.edu</a>).
Applications must be submitted online at </span><span style="font-size: 10.000000pt; font-family: 'ArialMT'; color: rgb(0.000000%, 0.000000%, 100.000000%)"><a href="http://listings.jobs.vt.edu">listings.jobs.vt.edu</a> </span><span style="font-size: 10.000000pt; font-family: 'ArialMT'">(posting #TR0140103) where full details may
be found, and should include a cover letter, a curriculum vitae, a research plan, a statement of teaching
philosophy </span><span style="font-size: 9.000000pt; font-family: 'ArialMT'">that describes an integrated vision for education, and contact information for at least three
references</span><span style="font-size: 10.000000pt; font-family: 'ArialMT'">. Review of applications will begin on November 15, 2014.
</span></p><p><span style="font-size: 10.000000pt; font-family: 'ArialMT'">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. </span></p>
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