[LFG] Postdoc position: crosslingual word embeddings (H2020 Embeddia project)

[Antoine Doucet]

***Post‐Doctoral Position*


*Crosslingual word embeddings for semantic knowledge extraction
*



Title: Post-doc position on semantic enrichment using crosslingual word 
embeddings
Location: L3i laboratory, La Rochelle, France
Duration: 2 years, with possible extension
Net salary range: 2100€-2300 € monthly
Context: H2020 Embeddia project

Keywords: any-language approaches, word embeddings, named-entity 
recognition and linking, multilingual event detection, deep/machine 
learning, statistical NLP, (text) data mining

***

Applications are invited for a postdoctoral researcher position on the 
exploitation of word embeddings for crosslingual text analysis and 
semantic enrichment. The Embeddia project (Cross-Lingual Embeddings for 
Less-Represented Languages in European News Media) is a consortium of 9 
partners including media and software companies and computer science 
research labs aiming to improve the crosslingual access to European news 
contents (see the official Embeddia 
<https://cordis.europa.eu/project/rcn/218731/factsheet/en> summary).
In the University of La Rochelle, using novel word embeddings for 
low-resourced languages, we are in charge of the crosslingual detection 
and linking of named entities, as well as developping 
language-independent event detection techniques. The research fellow 
will first be in charge of building a state of the art of existing 
related approaches, tools and resources, then to conduct further 
research and experiments, as well as to participate in the supervision 
of master students.

The work will be conducted in the informatics, image and interaction 
laboratory (L3i), within the Horizon 2020 Embeddia project 
<https://cordis.europa.eu/project/rcn/218731/factsheet/en>. The L3i is a 
100-person computer science laboratory created in 1993, hosted in the 
heart of the historical and sunny seaside city of La Rochelle 
<https://www.google.com/search?q=la+rochelle&tbm=isch>.
The context of work is rather vivid, with a growing international team 
around two H2020 projects, and several international events organised 
locally (CICLing 2019 in April, a 2-week summer school on document 
analysis and understanding in July 2019, etc.).

What we search for:

- a PhD in Computer Science, ideally with further postdoctoral experience
- past experience in statistical NLP, IR, or ML
- proven record of high-level publications in one or more of those fields
- fluency in written and spoken English (please note: French-language 
skills are irrelevant)


Applications including a CV and a one-page research statement discussing 
how the candidate's background fits requirements and topic are to be 
sent to by email to antoine.doucet at univ-lr.fr, strictly with the subject 
"Embeddia postdoc application".
Applications will be reviewed until the position is filled (expected 
start: ASAP, latest March or April 2019).
Applications will processed in the begining of January 2019.


-- 
Antoine Doucet
Full Professor
L3i - Laboratoire Informatique, Image et Interaction
University of La Rochelle - IUT de La Rochelle
http://pageperso.univ-lr.fr/antoine.doucet/  

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