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Postdoc in Natural Language Processing on the Science of Science (Stanford, CA, USA)

Stanford University announces a one-year postdoctoral fellowship position (with possibility of renewal). The position start date is flexible but preference is given to Summer/Fall 2019 start dates.

The postdoc will work with an interdisciplinary team of faculty collaborators. The core faculty are Daniel A. McFarland (Education, Sociology and Organizational Behavior) and Dan Jurafsky (Linguistics and Computer Science), but projects extend to other faculty in history, computer science and biocomputation. In general, we seek a computational social scientist or skilled data scientist who is interested in leading projects concerning the science of science, and who has demonstrated expertise in social networks, natural language processing, and big data analysis.

Ideal candidates can come from various disciplines, including PhD in sociology, computer science or linguistics with strong skills in data science, social network analysis and computational linguistics

A strong interest in the science of science is preferred as our collaborative projects range from purely computational/algorithmic analysis of large scientific communities, to substantive studies of actual research communities and their evolution. The research team's focal projects concern corpora related to academic knowledge creation (papers, patents, etc), attempts to map the formation and decline of knowledge domains, the diffusion of ideas and the rise of innovations, and effects of diversity and bias.

Depending on postdoc's background and interests, the postdoc could be housed in Dan McFarland's lab in Education or in the Stanford NLP Group. Both labs are very committed to mentoring postdocs, supporting them and their professional development, and we have a proven track record of placing postdocs in faculty jobs. Salary is commensurate with Bay Area costs.

Stanford University is an affirmative action and equal opportunity employer, committed to increasing the diversity of its workforce. It welcomes applications from women, members of minority groups, veterans, persons with disabilities, and others who would bring additional dimensions to the university's research and teaching mission.

Candidates should submit the following materials electronically to Prof. Daniel A. McFarland at mcfarland@stanford.edu
*Email one PDF file that includes*:

  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. Two publications or other writing samples

The review of applications will begin immediately and continue until the position is filled.