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Virginia Tech

Location: BlacksburgVA 24061 Document ID: AB422-0NZ0 Posted on: 2018-03-0703/07/2018 Job Type: Full-time

Job Schedule:Full-time
2018-04-06
 

Assistant Professor in Data Journalism & Analytics

Virginia Tech is a public land-grant university, committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the world. Building on its motto of Ut Prosim (that I may serve), Virginia Tech is dedicated to InclusiveVT-serving in the spirit of community, diversity, and excellence. We seek candidates who adopt and practice the Principles of Community, which are fundamental to our on-going efforts to increase access and inclusion, and to create a community that nurtures learning and growth for all of its members. Virginia Tech actively seeks a broad spectrum of candidates to join our community in preparing leaders for the world.

Position Summary:
The Department of Communication at Virginia Tech seeks qualified applications for a tenure-track assistant professor whose research and teaching focus on data journalism, analytics, and multimedia storytelling. Ideal candidates will have academic and professional backgrounds relevant to application of advanced analytic techniques to multimedia journalism practice. Relevant research background for the position includes areas such as data visualization, crowdsourcing, computational science, and network analysis. Candidates should be prepared to teach courses related to multimedia journalism, data journalism, and analytics. Candidates should be prepared to contribute to curriculum development emphasizing integration of advanced analytic techniques with multimedia journalism and storytelling production in a lab environment. Typical teaching expectations are two courses per semester or equivalent within a lab environment.
The successful candidate will have the opportunity to engage in transdisciplinary research, curriculum, and outreach initiatives with other university faculty working in the Creativity & Innovation (C&I) Strategic Growth Area, one of several new university-wide initiatives at Virginia Tech (see http://provost.vt.edu/destination-areas.html). The C&I Strategic Growth Area is focused on empowering partners and stakeholders to collaborate on creativity, innovation, and entrepreneurship efforts that transcend disciplinary boundaries. Faculty working together in this area comprise a vibrant ecosystem that melds the exploration of innovative technologies and the design of creative experiences with best practices for developing impact-driven and meaningful outcomes and solutions. Candidates with demonstrated experience of interdisciplinary teaching or research in areas that align with the C&I vision are especially encouraged to apply. We seek a diverse pool of applicants.
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. For inquiries regarding non-discrimination policies, contact the Office of Equity and Access at 540-231-2010 or Virginia Tech, North End Center, Suite 2300(0318), 300 Turner Street, NW Blacksburg, VA 24061.

Required Qualifications:
•Ph.D. in communication or related field, broadly defined.
•Demonstrated potential for scholarly publication and successful teaching.
•Potential to secure extramural funding.
•Evidence of excellence in scholarship and teaching and of potential for the development and maintenance of a nationally or internationally recognized research program.
•ABD applicants will be considered, but the doctoral degree must be awarded by the appointment date of August 10, 2018.

Preferred Qualifications:
•Experience working with "big data," large public data sets, and public records.
•Background and research expertise related to advanced analytic techniques such as, but not limited to, "big data," data visualization, crowdsourcing, computational science, and network analysis.
•Experience working with scripting and analysis packages such as, but not limited to, R, Python, SQL , and / or other scripting languages.
•Background related to technology and innovation in journalism and multimedia storytelling.
• Interest in teaching students concepts and technical skills involving integration of data and information in multimedia journalism packages.



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