Postdoc in Speech and Language Processing for using Police Body-Camera Data to Improve Police-Community Relations

Stanford University announces a one-year postdoctoral fellowship starting August 1, 2023 (but this date is flexible), with the potential for renewal for a second year.

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 NLP and dialogue, interdisciplinary experience in computational social science, and interest and preferably background in working with spoken language. 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, studying social media related to police-community interaction, speech processing, and could also include video processing.

The postdoc would be mentored by Dan Jurafsky (Linguistics and Computer Science), and Jennifer Eberhardt (Psychology and GSPB), the PIs of the research project. You would be part of a large interdisciplinary team and the Stanford NLP Group, a fun, supportive, and 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 Suzanne Lessard at slessard@stanford.edu by May 1, 2023. Review of applications will begin May 1 and continue until the position is filled. We expect to get back to applicants before the end of May 2023.

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