Assistant Professor of Technical Communication and Data Visualization, Virginia Tech

Saturday, October 1, 2016 (All day)

The Department of English at Virginia Tech invites applications for a tenure-track Assistant Professor position in Technical Communication and Data Visualization to begin August 2017.

Responsibilities include teaching undergraduate and graduate courses in data visualization, technical writing, and/or rhetoric at an expected teaching load of 2/2 per year; serving on departmental, college, and university committees; and advising students.

For a complete listing of position qualifications, and to apply, please visit www.jobs.vt.edu, and search for posting #TR0160091. Review of applications will begin on October 1, 2016.

Applications must be submitted electronically at http://www.jobs.vt.edu, posting no. TR0160091. Attach to the electronic application a letter of interest that addresses the qualifications and responsibilities stated above, a curriculum vitae, a writing sample (upload to ‘Other Doc’), and the names of three references. Address queries to Katrina Powell at kmpowell@vt.edu. Applications will be acknowledged via e-mail.

Virginia Tech, founded in 1872 as a land-grant institution, is currently ranked as a Top 25 Public University by US News & World Report and a Top 25 Public Research University by the National Science Foundation. Through a combination of its three missions of learning, discovery, and engagement, Virginia Tech continually strives to accomplish the charge of its motto: Ut Prosim (That I May Serve). As the Commonwealth’s most comprehensive university and its leading research institution, Virginia Tech serves a diverse population of 30,000+ students and 8000+ faculty and staff from over 100 countries, and is engaged in research around the world. Invent the Future at Virginia Tech.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, gender, gender identity, gender expression, national origin, political affiliation, race, religion, sexual orientation, genetic information, or veteran status; or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees, or applicants; or any other basis protected by law.

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