Postdoc in Speech and Language Processing for Improving Police-Community Relations

Stanford University announces a postdoctoral fellowship, with initial term of October 1, 2018 to September 30, 2019 with the potential for renewal.

The postdoc would join our project on using NLP, dialogue, and speech processing to improve police-community relations by processing and studying the language from police body-worn cameras.

Candidates should have a PhD in Computer Science or a related field with a strong background in speech/spoken language processing and NLP. Interdisciplinary experience in computational social science is also desirable. The project encompasses a wide variety of research areas and methods, including modeling conversational interaction and dialogue structure, extracting social and discourse meaning from text and speech, speech processing, and video processing.

The postdoc would be mentored by Dan Jurafsky (Linguistics and Computer Science), and Jennifer Eberhardt (Psychology), the PIs of the research project. The postdoc would be housed in the Stanford NLP Group, a fun, collaborative group providing many opportunities for learning, hands-on research and teamwork. See http://nlp.stanford.edu/.

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 underrepresented 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 Grayce Ujihara at gujihara@stanford.edu.

To simplify processing, please email one PDF file that includes:

• A brief statement of interest describing your relevant background
• Current CV
• Contact information for three references (letters of recommendation will only be solicited from finalists)
• Two publications or other writing samples

Review of applications will begin June 15 and continue until the position is filled.