Assistant Prof., Washington Univ. in St. Louis

Cultural Analytics and/or Digital Literary Studies

As part of a broad initiative in Data Analytics and Digital Technology (,

Washington University in St. Louis seeks a tenure-track faculty member at the rank of Assistant Professor in the field of Cultural Analytics or Digital Literary Studies (start date July 1, 2021). Depending upon research area and educational background, the primary appointment will be made in either English, Comparative Literature, or Germanic Languages and Literatures with joint appointment or affiliation possible in such programs as Film and Media Studies or Performing Arts. Successful candidates will have a record of or the potential for outstanding teaching and scholarship in one of these fields.

We seek applicants with expertise in computational analysis as well as experience in research collaboration and an appetite for shared inquiry. We welcome applications from candidates in a broad range of literary- and cultural- historical fields and are especially interested in colleagues engaged in anti- racist, feminist, queer, and decolonial scholarship and research.  Teaching responsibilities will include general courses in digital humanities and quantitative methods at both the undergraduate and graduate levels, in addition to courses in their disciplinary field.  We also expect the candidate to play a significant role in efforts to build a cross-disciplinary structure for digital humanities research and education at Washington University.

Applications should include a cover letter, CV, three letters of recommendation, a 20-25-page writing sample, a teaching statement, and evidence of teaching excellence, in the form of a teaching evaluation by a faculty member or a substantive discussion of teaching in one of the letters. A reflection on your experience and vision regarding the teaching and mentoring of students from diverse backgrounds should be included in either your teaching statement or your cover letter.  Your cover letter or c.v. should indicate your skills in data analytics or quantitative analysis.  All materials should be uploaded to


Review of applications will begin on November 18 and will continue until the position is closed.

Inquiries about submitting application materials should be sent to Deborah Jaegers ( Other inquiries should be sent to Search Committee Chair, Joseph Loewenstein (