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.




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).

Educational level:

Ph. D.

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