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 at irit.fr and stergos.afantenos at irit.fr with your CV indicating your publication record, previous work and research experience, software repositories (if any) and other relevant info -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 2717 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20190103/e02b57b1/attachment.txt>