Assistant/Associate Professor, Computational Approaches to Language, University of Wisconsin-Madison


Position Summary: This position is a full-time, tenure-track faculty position at the Assistant Professor level, to start August 2020. Applications at the associate professor level may be considered in exceptional cases. The search is for a job candidate whose expertise bridges research on language learning, development, evolution and/or instruction, with proficiency in computational methods related to learning analytics, natural language processing, connectionist approaches, Bayesian models, topics models, semantic analysis, high dimensional data analysis, and/or data mining. Candidates that use big data approaches are particularly encouraged to apply.

The main tenure home for this position is likely to be Educational Psychology, Language Sciences, or Psychology, with potential joint appointments in other departments as indicated by the candidates’ background and interests. The position will involve a teaching load consistent with the tenure home, which will involve both undergraduate and graduate instruction.  Tenure home will be determined at time of hire.

This position is part of the Opening Doors Through Language: Access and Equity faculty hiring cluster. The goal of the cluster is to build on existing strengths in language research on campus by recruiting three new assistant professors whose research programs and teaching expertise addresses language-related issues that influence societal access, disparities, and/or equity. Candidates should have an interest in collaborating with the cluster faculty and with colleagues in schools, centers, and training programs across campus. Tenure homes for the three positions will likely be in Communication Sciences & Disorders, Educational Psychology, English, Language Sciences, and/or Psychology.


Overall, three candidates will be recruited in this Cluster: (1) Assistant Professor, minority languages and/or dialects; (2) Assistant Professor, sign language research; (3) Assistant/Associate Professor, computational approaches to language [this position; PVL: 100343]. These positions are part of UW-Madison’s Cluster Hiring Initiative (, designed to foster innovative, outstanding research programs that will stimulate productive interactions among faculty and students interested in research across the campus and to expand interdisciplinary research. More information about this position can be found here: More Information


Directions for Applying: To apply for this job, please visit The position number is 100343. Please submit: (1) a brief cover letter; (2) a current curriculum vitae; (3) a statement describing the candidate’s research program and a statement summarizing the candidate’s teaching experience and philosophy (please include both statements in the same document); (4) three reprints/preprints of scholarly work (please include all three in the same document). In addition, you will be asked to submit the names and contact information for three references. These references will submit confidential letters of recommendation on your behalf through the application portal.

The deadline for assured consideration is November 1, 2019: however, the position will remain open and applications may be considered until it is filled.


The University of Wisconsin is an Equal Opportunity and Affirmative Action Employer. We encourage all qualified individuals to apply. Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

UW-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background – people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion