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Stanford University announces a one-year postdoctoral fellowship position (with possibility of renewal), jointly offered by the Departments of Computer Science’s Info Lab, the Graduate School of Education, and Department of Linguistics. The position start date is flexible but preference is given to a near term commitment.
The postdocs will work with an interdisciplinary team of faculty collaborators: Daniel A. McFarland (Education, Sociology and Organizational Behavior), Jure Leskovec (Computer Science), and Dan Jurafsky (Linguistics and Computer Science). In general, we seek a computational social scientist with expertise in social network analysis, natural language processing, and social science disciplines who is interested in exploring big data.
Ideal candidates can come from several different backgrounds:
-- phd is sociology with strong emphasis on computational methods and data science
-- phd in computer science with strong emphasis on data science and social network analysis
-- phd in socio-linguistics with strong emphasis on natural language processing and computational linguistics
Projects will range from purely computational/algorithmic analysis of large communities and social networks and text, to substantive studies of actual research communities and their evolution. The research team’s focal project concerns corpora related to academic knowledge creation (papers, patents, etc) and attempts to map the formation and decline of knowledge domains, the diffusion of ideas, and the rise of innovation.
1. A brief statement of interest describing your relevant background
2. Current CV
3. Contact information for three references, one of which should be your doctoral advisor (letters of recommendation will only be solicited from finalists)
4. At least two publications or other writing samples
Review of applications will begin immediately and continue until the position is filled. We are looking for 2 candidates: the 1st starting soon and a 2nd starting September 2017.