|Position ID:||Stanford-COMM-LECJP [#3570]|
|Position Title:||Lecturer, Journalism Program|
|Position Type:||Non tenure-track faculty|
|Position Location:||Stanford, California 94305, United States [map]|
|Appl Deadline:||2014/01/02** finished (posted 2013/11/08, finished 2014/07/27, listed until 2014/04/24)|
|Stanford University's Department of Communication seeks an innovative journalist-coder with deep data skills to become a Lecturer in the Journalism Program. The ideal candidate would help create the Stanford Computational Journalism Lab and serve as its Chief Technologist and Senior Associate.
Over the next five years, the Journalism Program aims to change the way that stories are discovered and told. Faculty and students will develop data analysis and visualization tools, partner with media and technology companies around content creation, and lead research and instruction in computational journalism -- all with the goal of supporting accountability and investigative journalism in the digital world.
Reporting that uncovers hard-to-get information to hold institutions accountable remains essential to democracy, but it is increasingly difficult to sustain economically. Stanford can do R and D to help fill this gap. For example, the combination of data mining and pattern recognition software can generate story leads. Easy-to-use tools to pull data from pdf forms, cluster documents by topic and sentiment, and draw connections across entities and individuals can surface stories to investigate.
The program also will foster new ways of telling public affairs and investigative stories. If these stories are personalized or developed in ways that lead to distinctive products, the media companies whose journalists do the original work are much more likely to charge for it or attract advertising revenue.
There's no better place than Stanford to lead the development of computational journalism, which offers the prospect of accountability through algorithms. The university's scholars in multiple fields -- computational social science, computer science, and digital humanities -- are inventing ways to harness data to explain how institutions operate. Journalists are seeking new ways to pursue a similar mission.
We seek a journalist interested in leading the fusion of computation and journalism as a Lecturer at Stanford. The successful candidate would teach courses in topics such as data journalism, data visualization, and computational journalism at the undergraduate and master's level. This would involve infusing the Journalism MA program with an emphasis on discovering and telling stories through data. The person would be a founding member of the Stanford Computational Journalism Lab, slated to open in 2014.
Applicants should have extensive experience in public affairs reporting and in using data to generate and tell stories. Also essential are a strong ability to code and an interest in doing research to develop tools for journalists.
Applicants should submit a resume, cover letter, and six work samples (copies or links to) at: https://academicjobsonline.org/ajo/jobs/3570
The cover letter should discuss why teaching at Stanford and helping to build a program that fuses computation and journalism would be a natural next career step. The Lecturer position involves an initial appointment for two years, with possibility for renewals. Applications received by January 2, 2014 will receive full consideration.
Questions should be addressed to James Hamilton, Hearst Professor of Communication and Stanford Journalism Program Director, at email@example.com.
Stanford University is an equal opportunity employer and is committed to increasing the diversity of its faculty. It welcomes nominations of, and applications from, women and members of minority groups, as well as others who would bring additional dimensions to the university’s research and teaching missions.