LINGUIST List 29.3579

Tue Sep 18 2018

Jobs: Computational Linguistics; Ling & Literature; Text/Corpus Linguistics: Post Doc, The University of Texas at Austin

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Date: 18-Sep-2018
From: Khoa Tran <khoabtranaustin.utexas.edu>
Subject: Computational Linguistics; Ling & Literature; Text/Corpus Linguistics: Post Doc, The University of Texas at Austin, USA
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University or Organization: The University of Texas at Austin
Department: Classics
Job Location: Texas, USA (Telecommute)
Web Address: https://www.qcrit.org/
Job Title: Postdoctoral Fellow

Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Ling & Literature; Text/Corpus Linguistics


Description:

The Quantitative Criticism Lab (QCL; www.qcrit.org), a research group developing cross-disciplinary approaches to the study of literature and culture, invites applications for a full-time postdoctoral fellowship. The duration of the fellowship is 18 months, from January 2, 2019 to June 30, 2020. The field of specialization is open, but expertise in computer programming and statistical analysis is essential, as is a deep interest in the study of literature. QCL’s physical lab space is based at The University of Texas at Austin; residence in Austin during the fellowship period is preferred but not required. The fellow will have no teaching responsibilities. The position is funded by a Digital Extension Grant from the American Council of Learned Societies (ACLS).

The ACLS-funded project will produce a web-based suite of tools for traditionally-trained humanists to analyze literary texts in a quantitative manner. The tools are designed with an important class of literary problems in mind, exemplified by the identification of verbal parallels and, at a larger scale, by the individuating of entire works within generic traditions. We take two main approaches: sequence alignment for the detection of verbal resemblance, and stylometry augmented by machine learning for the profiling of texts and corpora. The tools are expected both to enhance traditional modes of literary criticism and to enable novel quantitative analyses of the cultural evolution of literature.

The postdoctoral fellow’s primary responsibilities will be to lead development of these tools and to participate in other aspects of QCL’s research program according to background and interests. The work will involve coding, research design, data analysis, literary criticism, and scholarly writing for diverse venues, as well as various organizational duties related to workshops and conferences. The postdoctoral fellow will work under the supervision of Pramit Chaudhuri (UT Austin) and Joseph Dexter (Dartmouth College), the co-directors of QCL, and will collaborate with a diverse array of scholars, in both academia and industry, affiliated with QCL. In addition, the fellow will be expected to play a major role in mentoring the numerous graduate, undergraduate, and high school students who conduct research with QCL.

A Ph.D. in a computational, statistical, linguistic, or literary field is required. Possible disciplines include (but are not limited to) anthropology, applied mathematics, bioinformatics, classics, comparative literature, computer science, English, evolutionary biology, linguistics, and statistics.
Prior experience with any of the following areas is highly desirable but not required:
- Computational linguistics,
- Cultural evolution,
- Digital humanities,
- Literary criticism of a premodern or non-Anglophone tradition (especially Latin or Ancient Greek),
- Machine learning, and
- Natural language processing.

By the start date of the position, applicants should either have the Ph.D. in hand or be able to provide certification from their home institution that all degree requirements have been fulfilled. Applicants must have received the Ph.D. within the last three years.

The salary will be $48,000 per year, plus benefits.

The successful candidate must be able to begin work in this position by January 2, 2019.

Review of applications will begin on October 15, 2018. For further details regarding the position and information on how to apply please refer to the listing on the UT Jobs website link provided below.

Application Deadline: 15-Oct-2018

Email Address for Applications: vnoyaaustin.utexas.edu
Web Address for Applications: https://utdirect.utexas.edu/apps/hr/jobs/nlogon/180823010712
Contact Information:
Executive Assistant Vanessa Noya
Email: vnoyaaustin.utexas.edu
Phone: 512-471-4967
Fax: 512-471-4111

Page Updated: 18-Sep-2018