30.3796, Jobs: Computational Linguistics; Text/Corpus Linguistics: Post Doc, University of Cambridge

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LINGUIST List: Vol-30-3796. Tue Oct 08 2019. ISSN: 1069 - 4875.

Subject: 30.3796, Jobs: Computational Linguistics; Text/Corpus Linguistics: Post Doc, University of Cambridge

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Date: Tue, 08 Oct 2019 13:44:20
From: Theodora Alexopoulou [ta259 at cam.ac.uk]
Subject: Computational Linguistics; Text/Corpus Linguistics: Post Doc, University of Cambridge, UK

 
University or Organization: University of Cambridge 
Department: Linguistics, MMLL, Cambridge
Job Location: Cambridge, United Kingdom 
Web Address: https://www.mmll.cam.ac.uk
Job Title: Corpus & Computational Linguistics, Second Language Acquistion
Job Rank: Post Doc

Specialty Areas: Computational Linguistics; Text/Corpus Linguistics; Second Language Acquisition


Description:

A full time Post-Doctoral Research Associate position is available at the
University of Cambridge to work with Dr Dora Alexopoulou and Professor Ianthi
Tsimpli on the Leverhulme Trust grant "Linguistic typology and learnability in
second language'' (http://ef-lab.mml.cam.ac.uk/leverhulme.html )

The project aims to measure the impact of linguistic distance between L1 and
L2 on the learning success of learners from different linguistic backgrounds.
The empirical research will consist of a comprehensive corpus analysis
exploiting the EF-Cambridge Open Language Database (EFCAMDAT) and the
International Corpus of Learner English (ICLE). The main responsibility of the
postdoctoral researcher is to conduct the corpus investigation and work with
the investigators for the analysis of data and research publications.

The ideal candidate will have strong background in corpus linguistics and
proven ability to work with NLP tools for extracting grammatical features and
structures and to apply statistical analyses to the data. Experience with
learner corpora and second language learning research is particularly welcome.
Candidates will have completed a PhD in a relevant field.

The postdoctoral researcher and will join the EF Research Lab for Applied
Language Learning, the Processing and Language Acquisition Group and the
Language Technology Group and become part of a multidisciplinary research
community within Linguistics, and, more widely, within Cambridge Language
Sciences.

This position is fixed term for 18 months, starting on 16th of January 2020 or
as soon as possible thereafter. The successful candidate will be a member of
the Linguistics Section of the Faculty of Modern and Medieval Language.

In order for your application to be considered, please upload a covering
letter, a detailed curriculum vitae, a list of publications and one sample of
a recent publication. You must also provide the names and contact details of
two referees who are familiar with your work in the relevant field and whom we
can contact for a reference once the vacancy has closed.

To apply, please see the application link provided below.

The closing date for applications is midnight (GMT), 15 of November 2019 and
interviews are planned for 4 December, subject to confirmation. If you have
any questions about this vacancy, please contact Dr Dora Alexopoulu at the
contact information provided below. For questions on the application process
or procedure, please contact Ruth Farley, HR Coordinator at
MMLPersonnel at admin.cam.ac.uk



Application Deadline: 15-Nov-2019 
	  
Web Address for Applications: http://www.jobs.cam.ac.uk/job/23459/ 
Contact Information:
	Dr Dora Alexopoulou 
	Email: ta259 at cam.ac.uk 


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