33.2293, Jobs: Latin; Computational Linguistics; General Linguistics; Lexicography; Ling & Literature: Postdoctoral Fellow, Harvard University

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LINGUIST List: Vol-33-2293. Tue Jul 19 2022. ISSN: 1069 - 4875.

Subject: 33.2293, Jobs: Latin; Computational Linguistics; General Linguistics; Lexicography; Ling & Literature: Postdoctoral Fellow, Harvard University

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Date: Tue, 19 Jul 2022 15:20:44
From: Mallory McCoy [mmccoy at fas.harvard.edu]
Subject: Latin; Computational Linguistics; General Linguistics; Lexicography; Ling & Literature: Postdoctoral Fellow, Harvard University, Cambridge, MA, USA

 
University or Organization: Harvard University 
Department: Department of Human Evolutionary Biology
Job Location: Massachusetts, USA 
Web Address: http://heb.fas.harvard.edu
Job Title: Postdoctoral Fellow
Job Rank: Post Doc

Specialty Areas: Computational Linguistics; General Linguistics; Lexicography; Ling & Literature; Cultural Analytics, Cultural Evolution, History of Ideas, Statistics

Required Language(s): Latin (lat)

Description:

We seek a postdoctoral fellow with research experience in computational
approaches to language and literature to work on a cross-institutional project
to develop methods for the study of historical psychology in Latin texts. This
is a one-year full-time position beginning in September 2022 and potentially
renewable for one additional year. Besides regular meetings with the project
PI, Joe Henrich (Harvard University, Culture, Cognition, and Coevolution Lab)
and co-PI, Jonathan Schulz (George Mason University), the position will entail
close collaboration with the Quantitative Criticism Lab, co-directed by Joseph
Dexter (Harvard University). 

The aim of the project is to develop computational methods for the study of
diachronic changes in psychology based on current research in the social
sciences and developments in computational text analysis for Latin and other
pre-modern languages. The work forms part of a larger multi-institutional
project, funded by the Templeton Foundation, entitled "Religion, Family
Structure and the Origins of Individual Freedom and Economic Prosperity." The
successful applicant will join a cross-disciplinary, highly collaborative team
of humanists, social scientists, and data scientists; this position will
contribute to the team through research competence in historical languages and
some experience in natural language processing, corpus linguistics,
computational literary studies, digital humanities, or a related area. 

Experience in Latin language and literature is highly desirable; also desired
but optional areas of experience include one or more of the following: 
 - cultural analytics, 
 - cultural evolution, 
 - history of ideas, 
 - lexicography.

The fellow will have no teaching responsibilities. 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, 
 - statistics.

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. The Culture, Cognition, and
Coevolution Lab space is based at Harvard University; residence near Cambridge
during the fellowship period is preferred but not required.

Applicants should submit the following materials to the application email
below by August 1:
 - Cover letter describing their interest in the position and any relevant
prior work
 - C.V.
 - Short (1-2 page) summary of past and current research interests, giving
particular attention to any computational work, including link to GitHub or
other online coding portfolio, if available
 - Writing sample of not more than 30 pages
 - Names and contact information of three referees (letters will be requested
only for short-list candidates)



Application Deadline: 01-Aug-2022 
	  
Email Address for Applications: jdexter at fas.harvard.edu 
Contact Information:
	Joseph Dexter 
	Email: jdexter at fas.harvard.edu 


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