LINGUIST List: Vol-28-171. Tue Jan 10 2017. ISSN: 1069 - 4875.
Subject: 28.171, Support: African Deaf Sign Languages; Computational Linguistics / Netherlands
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Date: Tue, 10 Jan 2017 14:33:18
From: Victoria Nyst [v.a.s.nyst at hum.leidenuniv.nl]
Subject: African Deaf Sign Languages; Computational Linguistics: PhD, Leiden University, Netherlands
Institution/Organization: Leiden University
Department: Leiden University Centre for Linguistics
Web Address: https://goo.gl/g884TJ
Level: PhD
Duties: Research
Specialty Areas: Computational Linguistics
African Deaf Sign Languages
Description:
Dear all,
Currently, two PhD positions in data science are available at Leiden
University (The Netherlands):
https://goo.gl/g884TJ
Project description
Candidates should have relevant domain expertise and will be trained in data
scientific methods. You will carry out research at the Faculty of Humanities
and the Leiden Centre Data Science, with intensive interaction with other PhD
candidates through joint research and participation in training modules,
workshops, and summer schools. Each PhD student will be supervised by a domain
expert from the Humanities Faculty and a data scientist.
Project 1. Exploring new methods in comparing sign language corpora: analysing
cross-linguistic variation in the lexicon (dr. Victoria Nyst).
- The candidate should have an MA in corpus and/or computational linguistics,
with emphasis on collection and organization of lexical databases
- Familiarity with Python and Java (and Django) will be an asset, as well as
familiarity with automated image analysis
- A basic command of a sign language or the willingness to acquire this is
requested
- As some of the corpora are annotated in French, a basic knowledge of French
is helpful.
Project 2. Detecting cross-linguistic Syntactic Differences Automatically
(DeSDA) (prof. Sjef Barbiers)
- The candidate should have an MA in computational linguistics, artificial
intelligence or equivalent, with affinity to the research field of comparative
syntax of natural language
- You should have familiarity with POS-tagging, parsing and data mining tools
and be able to adapt these to the needs of the project, using programming
languages, software packages and standards such as Java, C++, XML, PHP,
Python, R, SQL and RDF.
Application Deadline: 07-Jan-2017
Web Address for Applications: vacaturesFB at hum.leidenuniv.nl
Contact Information:
Prof Hilde De Weerdt
h.g.d.g.de.weerdt at hum.leidenuniv.nl
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LINGUIST List: Vol-28-171
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