We are looking for a post-doc in Natural Language Processing or Machine 
Learning as part of the ANR-PIA project Linto, an open source smart 
personal and meeting assistant:
https://research.linagora.com/display/linto/LinTO+Overview.


If you have recently defended a PhD thesis (or are close to defending) 
and have experience with deep learning methods in NLP or Machine 
Learning in general, then this is your chance to work in close 
collaboration with several internationally renowned research groups and 
industrial partners and grow as an independent researcher.

The aim of the Linto project is the development of a meeting assistant 
which will be able to understand spoken language in the context of 
meetings and propose useful information to the participants. The focus 
of this post-doc position will be the development of deep learning 
methods for the understanding of natural dialogues. Input can be either 
transcripts from an Automatic Speech  Recognition System or internal 
representations from a neural architecture of such a system. Our goal 
will be the modeling of dialogue in the form of speech acts, discourse 
structure and discussion threads.

Post-doc duration: 20 months

Requirements: PhD in computer science / computational linguistics / 
alike or equivalent work experience, solid research track, experience 
with deep learning methods in  NLP, strong knowledge of Python and deep 
learning frameworks (Keras, AllenNLP, PyTorch or others).

Starting date: early 2019

To apply: send an email muller@irit.fr and stergos.afantenos@irit.fr 
with your CV indicating your publication record, previous work and 
research experience, software repositories (if any) and other relevant info