Overview

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://linto.ai/

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 machine
learning methods for the understanding of natural dialogues, from
automatic transcriptions of conversations.
Our goal will be the modeling of dialogue in the form of speech acts,
discourse structure and discussion threads.

If you have recently defended a PhD thesis (or are close to defending)
and have experience with machine learning methods in NLP or
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.

Company:

IRIT

Qualifications:

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.

Specific requirements:

Post-doc duration: 18 months

Educational level:

Ph. D.

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About IRIT (Institut de Recherche en Informatique de Toulouse)

IRIT was founded in 1990. Since then, it plays a prominent role in Toulouse computer science research. It gathers together more than 670 members among which 500 researchers, faculty members, and Ph.D. students afiliated to CNRS (Centre National de la Recherche Scientifique), INPT (Institut National Polytechnique de Toulouse), UT3 (Université Toulouse 3 Paul Sabatier), UT1 (Université Toulouse1 Capitole) and UT2 (Université Toulouse 2 Jean Jaurès).

Research at IRIT covers most of the fields where computer and information science are in progress, be it in its core, ranging from computer architecture to software engineering and computer networks, or in its most contemporary developments like artificial intelligence and cognitive systems, multimedia man-machine interaction, image interpretation and synthesis.