Assistant Professor-Cultural Analytics or Digital Literary Studies

Description

As part of a broad initiative in Data Analytics and Digital Technology (https://insideartsci.wustl.edu/digital-transformation-hiring-initiative), 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, 2022). Depending upon research area and educational background, the primary appointment will be made in either English, Comparative Literature, or Germanic Languages and Literatures with 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. 

Qualifications

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.

Application Instructions

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 Interfolio at https://apply.interfolio.com/97116.

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 (djaegers@wustl.edu). Other inquiries should be sent to Search Committee Chair, Joseph Loewenstein (jfloewen@wustl.edu).

Diversity and inclusion are core values at Washington University, and the strong candidate will demonstrate the ability to create inclusive classrooms and environments in which a diverse array of students can learn and thrive. Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those underrepresented in their academic fields. It is the University’s policy to recruit, hire, train, and promote persons in all job titles without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, protected veteran status, disability, or genetic information. 

Each year Washington University publishes a Safety and Security brochure that details what to do and whom to contact in an emergency. This report also publishes the federally required annual security and fire safety reports, containing campus crime and fire statistics as well as key university policies and procedures. You may access the Safety and Security brochure at https://police.wustl.edu/clery-reports-logs/.

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Equal Employment Opportunity Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity and especially encourages applications by those underrepresented in their academic fields. It is the University’s policy to recruit, hire, train, and promote persons in all job titles without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, protected veteran status, disability, or genetic information.


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