Open PhD position in deep learning for NLP at RCLN, LIPN, Université Sorbonne Paris Nord

When:
30/08/2020 – 31/08/2020 all-day
2020-08-30T02:00:00+02:00
2020-08-31T02:00:00+02:00

Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : Laboratoire d’Informatique de Paris Nord (LIPN)
Durée : 3 years
Contact : tomeh@lipn.fr
Date limite de publication : 2020-08-30

Contexte :
The natural language and knowledge representation (RCLN, https://lipn.univ-paris13.fr/accueil/equipe/rcln/) team, a member of the computer science laboratory (LIPN) of the University Sorbonne Paris Nord (Paris 13), is offering a three-year PhD research position starting in September, 2020.

Sujet :
The selected candidate will work on joint modeling of linguistic structures and downstream applications using ideas from multitasking and latent structure prediction in deep neural networks.

Profil du candidat :
We are looking for students with a masters degree (Master 2 or equivalent) in computer science.

Formation et compétences requises :
Background in natural language processing and machine learning.

To apply, please send the following documents to Nadi Tomeh (tomeh@lipn.fr):
– CV
– Academic transcripts including grades
– Master thesis or report (if available)
– Motivation letter adapted to the context
– Recommendation letters

Adresse d’emploi :
LIPN, UMR CNRS 7030
Université Sorbonne Paris Nord
99, Avenue Jean-Baptiste Clément
93430, Villetaneuse

Document attaché : 202005130927_PhD-P13-2020-multitask-structure-prediction.pdf