Postdoctoral Researcher in Computational Social Science and Natural Language Processing (Stanford, CA, USA)

Stanford University announces a one-year postdoctoral fellowship position (with possibility of renewal for a second year) in computational social science and NLP/AI. The position start date is flexible.

The postdoc will work with an interdisciplinary team of faculty collaborators on two complementary research strands funded by a Hoffman-Yee research grant: (1) the better application of NLP/AI models to understand socially-rich concepts like immigration, gender, ethnicity, revolution, or legal terms like "reasonableness" and their variation in language and image over space and time; (2) the interpretive study of social concepts and bias in large language models for understanding and improving AI/NLP systems themselves.

Ideal candidates can come from various disciplines, and should have a recent PhD in computer science, data science, digital humanities, or the behavioral or social sciences, with strong research skills in computational social science, data science, and natural language processing or AI.

Depending on the applicant’s background and interests, the position could be housed in the Stanford NLP Group or in any of our various social science and humanities labs and departments, and would be co-mentored by relevant members of our group, including Dan Jurafsky (PI, Linguistics and Computer Science), Ran Abramitzky (Economics), Mark Algee-Hewitt (English), Lanier Anderson (Philosophy), Dan Edelstein (French), Alison McQueen (Political Science), Julian Nyarko (Law School), Londa Schiebinger (History of Science), Robb Willer (Sociology), and James Zou (Biomedical Data Science and CS). We are very committed to mentoring postdocs, supporting them and their professional development, and we have a strong 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. Inclusiveness and diversity are integral to Stanford's commitment to excellence in research, engagement, and education. We are particularly interested in candidates who have demonstrated experience engaging with diversity through activities such as fostering an inclusive environment, working with students from diverse backgrounds, or incorporating diverse perspectives in research.

Candidates should submit by email to Suzanne Lessard at a single PDF file which includes:

  • A brief statement of interest describing your relevant background and including your potential to support Stanford's commitment to diversity
  • Current CV
  • Contact information for three references (letters of recommendation will only be solicited from finalists)
  • Two publications or other writing samples

The review of applications will begin January 20 and continue until the position is filled.