28.3154, Jobs: Computational Linguistics: Post Doc, University of Copenhagen

[The LINGUIST List]

LINGUIST List: Vol-28-3154. Thu Jul 20 2017. ISSN: 1069 - 4875.

Subject: 28.3154, Jobs: Computational Linguistics: Post Doc, University of Copenhagen

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Date: Thu, 20 Jul 2017 12:29:38
From: Bolette Pedersen [bspedersen at hum.ku.dk]
Subject: Computational Linguistics: Post Doc, University of Copenhagen, Denmark

 
University or Organization: University of Copenhagen 
Department: Department of Nordic Research, Centre for Language Technology
Job Location: Copenhagen, Denmark 
Web Address: http://cst.ku.dk/english/
Job Title: Postdoctoral position in Natural Language Processing for the Digital Humanities
Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Digital Humanities

Required Language(s): Danish (dan)
                      Latin (lat) 

Description:

The Department of Nordic Research, Faculty of Humanities, University of
Copenhagen (UCPH), Denmark, invites applications for a 2-year postdoctoral
position in Natural Language Processing for the Digital Humanities to be
filled by 1 November 2017 or as soon as possible thereafter.  
 
The successful candidate will be attached to CST and will work for the
cross-departmental and interdisciplinary research project Skrift og tekst i
tid og rum (Script and text in time and space) funded by the Velux Foundations
(see
http://nfi.ku.dk/forskning/forskningsprojekter/skrift-og-tekst-i-tid-og-rum).
CST conducts research in different areas of interest for language technology,
such as natural language processing, language technology resources and the
infrastructure around them, machine learning, and multimodal communication
(see http://cst.ku.dk/english/forskning/). The Centre wants to strengthen its
position in the area of Digital Humanities. It has a strong international
profile, at the same time as pursuing the development of language technology
methods and resources for the Danish language. The Centre has considerable
experience managing international research projects, frequently attracts
visiting researchers and has organised major conferences in the field.
Together with the Department of Computer Science of the University of
Copenhagen, it offers an international MSc programme in IT and Cognition.  
 
The project:

Skrift og text i tid og rum positions itself in the area of Digital
Humanities. The goal of the project is to study medieval texts produced in
Denmark in Danish and Latin from the point of view of handwriting development,
as well as dating and localization of the manuscripts. The project is
cross-disciplinary and combines qualitative and quantitative approaches from
philology, history, and language technology. The project will:  
 
- provide dynamic and interactive digital editions of diplomas, that is,
historical documents with judicial contents  
- perform systematic research into the script and language of the diplomas  
- survey the enterprise of diplomatics in a convent in medieval Denmark and
the persons and places involved  
- develop an open source system for research, publication, and dissemination
of handwritten texts in digital and printed format  
- develop tools for automatic linguistic analysis of texts as well as
automatic dating, localizing, and identifying scribal schools based on
machine-learning techniques  
 
Job content:

The successful candidate will engage in cutting-edge research in the area of
Digital Humanities. In particular, the candidate will contribute to the
development of language technology tools for the lemmatization and
morphosyntactic analysis of medieval texts from Denmark, both in Danish and
Latin. Furthermore s/he will engage in the application of machine learning to
the task of automatic dating and localization of the same texts using existing
linguistic annotations as well as visual features. The candidate will work in
close collaboration not only with computational linguists from CST, but also
with experts in manuscript studies and philology (including digital
philology).



Application Deadline: 01-Sep-2017 
	  
Web Address for Applications: http://bit.ly/2vFN2Md 
Contact Information:
	Professor Bolette Pedersen 
	Email: bspedersen at hum.ku.dk 


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