29.3579, Jobs: Computational Linguistics; Ling & Literature; Text/Corpus Linguistics: Post Doc, The University of Texas at Austin

[The LINGUIST List]

LINGUIST List: Vol-29-3579. Tue Sep 18 2018. ISSN: 1069 - 4875.

Subject: 29.3579, Jobs: Computational Linguistics; Ling & Literature; Text/Corpus Linguistics: Post Doc, The University of Texas at Austin

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Date: Tue, 18 Sep 2018 12:15:07
From: Khoa Tran [khoabtran at austin.utexas.edu]
Subject: Computational Linguistics; Ling & Literature; Text/Corpus Linguistics: Post Doc, The University of Texas at Austin, USA

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


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