32.1849, Jobs: Computational Linguistics; General Linguistics: Rank Open, Labex Empirical Foundations of Linguistics
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LINGUIST List: Vol-32-1849. Thu May 27 2021. ISSN: 1069 - 4875.
Subject: 32.1849, Jobs: Computational Linguistics; General Linguistics: Rank Open, Labex Empirical Foundations of Linguistics
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Date: Thu, 27 May 2021 14:01:51
From: Christel Preterre [christel.preterre at sorbonne-nouvelle.fr]
Subject: Computational Linguistics; General Linguistics: Rank Open, Labex Empirical Foundations of Linguistics, Paris, France
University or Organization: Labex Empirical Foundations of Linguistics
Department: EFL Excellence Center
Job Location: Paris, France
Web Address: https://en.labex-efl.fr/
Job Title: Post Doc or Engineer Specialized in Linguistic Data Analysis
Job Rank: Rank Open
Specialty Areas: Computational Linguistics; General Linguistics
Description:
The EFL Excellence Center is looking for a post-doc or engineer specialized in
linguistic data analysis for its training strand, to train and provide support
to EFL members (doctoral students, post-docs, researchers, lecturers and
professors) in state-of-the-art methods and emerging trends in the analysis of
linguistic data, and to support research projects involving complex data
processing.
Job title: Post-doc / Engineer in Linguistic Data Analysis
Duration: 18 – 24 months
Place of work: Paris
University and laboratory: University of Paris / Laboratoire de Linguistique
Formelle (LLF)
Salary: 2000 to 2400 euros / month net (depending on experience)
Deadline to apply: June 30, 2021
End of recruitment: July 2021
Starting date: September 2021
The working time will be divided into training actions (around 20%) and
research support actions (around 60%), leaving about 20% for own research.
The training part will represent around 20% of the recruited person's time.
This will include setting up and ensuring, in coordination with the training
manager and the EFL management committee, training actions (intensive
training, training cycle, etc.) on state-of-the-art and emerging methods in
statistical analyses of linguistic data. Given the great diversity of
linguistic data processed at EFL (data from oral and written corpora, data
from (psycho-)linguistic experiments or field studies, etc.), and methods
(statistical and probabilistic models, deep learning, etc.), the recruited
person is expected to provide training in their initial field of expertise,
and to be able to extend their initial skills to other types of data and other
methods, especially emerging ones.
Research support part (about 60%): according to the needs for processing of
linguistic data coming from EFL research projects, the engineer / post-doc
will be associated with research operations over fixed terms to support these
projects with respect to aspects of state of the art data analysis.
Research part (around 20%): the recruited person will also be able, in
coordination with the training manager and the management committee, to define
their own research project within one of the EFL research axes.
Qualifications and skills required:
- PhD / Master in Linguistics with proven (training and research) experience
in statistical data analysis or PhD in Artificial Intelligence / Natural
Langue Processing, with proven experience of collaboration with linguists.
- High level programming language (Python and R) proficiency
- Proven practice of statistical, probabilistic methods of data analysis
- A plus: practice in machine learning techniques, previous training
experiences on IT methods and tools for linguists
Applications, written either in French or English, should include:
- A curriculum vitae with a list of publications, training experience
- A cover-letter
- The name and email of two referees
- A research project description (two pages max.)
To apply, send your application to Emmanuel Cartier
(emmanuel.cartier at lipn.univ-paris13.fr) and Barbara Hemforth
(barbara.hemforth at linguist.univ-paris-diderot.fr).
For more information: https://www.labex-efl.fr/formation
Application Deadline: 30-Jun-2021
Email Address for Applications: emmanuel.cartier at lipn.univ-paris13.fr
Contact Information:
Emmanuel Cartier
Email: emmanuel.cartier at lipn.univ-paris13.fr
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