30.3622, Jobs: Computational Linguistics; Discourse Analysis; Pragmatics; Sociolinguistics: Assistant Professor, University of Pittsburgh
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Wed Sep 25 20:39:37 UTC 2019
LINGUIST List: Vol-30-3622. Wed Sep 25 2019. ISSN: 1069 - 4875.
Subject: 30.3622, Jobs: Computational Linguistics; Discourse Analysis; Pragmatics; Sociolinguistics: Assistant Professor, University of Pittsburgh
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Date: Wed, 25 Sep 2019 16:39:13
From: Allison Thompson [amt79 at pitt.edu]
Subject: Computational Linguistics; Discourse Analysis; Pragmatics; Sociolinguistics: Assistant Professor, University of Pittsburgh, Pennsylvania, USA
University or Organization: University of Pittsburgh
Department: Department of Linguistics
Job Location: Pennsylvania, USA
Web Address: https://www.linguistics.pitt.edu/
Job Title: Assistant Professor, Computational Sociolinguistics
Job Rank: Assistant Professor
Specialty Areas: Computational Linguistics; Discourse Analysis; Pragmatics; Sociolinguistics
Description:
The University of Pittsburgh Department of Linguistics invites applications
for the position of Assistant Professor (tenure-track), specializing in
computational sociolinguistics, beginning September 1, 2020.
Essential qualifications include:
- PhD in Linguistics or an allied field such as computer science or
anthropology at the time of appointment;
- A research program, evidenced by a strong publication record, featuring the
central use of computational/machine learning approaches to sociolinguistics
(including subfields of interaction/discourse analysis, pragmatics, variation
and change, language attitudes);
- Ability to teach one or more of the following courses: computational
linguistics, natural language processing, linguistic data science, corpus
linguistics, variationist sociolinguistics, discourse analysis;
- Evidence of an ability to work across disciplinary lines.
Desired qualifications -- applicants with one or more of the following will be
ranked more highly:
- Experience with data-intensive and quantitative methods
- Experience working with both structured and unstructured data;
- Demonstrated excellence in teaching in higher education;
- Ability to teach one or more of the following courses at the undergraduate
or graduate level: introduction to linguistics, phonetics, phonology,
morphology, syntax, semantics, pragmatics;
- Evidence of a critical perspective in research and teaching;
- Experience with involvement in industry partnerships;
- Research interests in languages other than English, especially Spanish or
Arabic.
The department is excited about this opportunity to expand our expertise and
build on our current strengths. The position is part of the "Machine Learning
Hub" series of hires coordinated with six departments across the Dietrich
School of Arts & Sciences. For information on the Department, please visit
https://www.linguistics.pitt.edu/
Pittsburgh is consistently ranked one of the most livable cities in America,
and the University has a commitment to providing world class research and
computing facilities.
The Dietrich School of Arts and Sciences is committed to building and
fostering a culturally diverse environment. Excellent interpersonal and
relationship-building skills and ability to work effectively with a wide range
of individuals and constituencies in support of a diverse community are
required.
This position is subject to budgetary approval. Review of applications will
begin October 14, 2019 and continue until the position is filled.
Consideration of applications will begin at that date, and applications will
continue to be reviewed until the position is filled. To apply, please visit
the application link provided below.
Applications should include:
- A cover letter,
- Curriculum vitae,
- Separate statements of research and teaching interests,
- Two to three writing samples (other than a dissertation),
- Teaching evaluations (if available),
- A brief description of how your research,
- Teaching or service (or all three) demonstrate a commitment to diversity and
inclusion, and
- The names, affiliations, and email addresses for three letters of reference;
references will receive email notification with instructions for submitting
their letters.
The University of Pittsburgh is an Affirmative Action/Equal Opportunity
Employer and values equality of opportunity, human dignity and diversity.
EEO/AA/M/F/Vets/Disabled.
Application Deadline: (Open until filled)
Web Address for Applications: https://facultysearch.as.pitt.edu/apply/index/Mjc0
Contact Information:
Chair Scott Kiesling
Email: kiesling at pitt.edu
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