UCLouvain is looking for:

a postdoctoral researcher in machine learning / natural language processing

– Full-time (100%) fixed-term contract of two years
– for the Centre de traitement automatique du langage (Cental) within the
Institut Langage & Communication (IL&C) in UCLouvain (Louvain-la-Neuve)
– Start date : as soon as possible

This postdoctoral position offer is part of a research project led by the
Cental (https://uclouvain.be/fr/instituts-recherche/ilc/cental) around
legal data processing.

Regarding the concrete application, the project aims at automatizing
the analysis
of documents related to clinic trials (meeting minutes, legal documents,
contracts, …) to assess their compliance to RGPD. The proposed solution
should thus be flexible enough to, on one hand, ensure that the model(s)
can be adapted to the various document types and, on the other hand, limit
the need of specialists’ expertise for training data annotation. In
consequence, the scientific core of this project is directly related fo the
question of few-shot learning, which we intend to address through active
learning and meta-learning.

The role of the hired postdoc will be to (1) develop the resources needed
for learning, (2) implement an architecture that incorporates active
learning and meta-learning, (3) evaluate the models and (4) implement the
components into a web service. The postdoc will also be required to
disseminate the results through scientific publications and/or reports.

Work environment:

CENTAL is part of the Institut Langage & Communication (
https://uclouvain.be/fr/instituts-recherche/ilc), in UCLouvain. This
university is located in Louvain-la-Neuve, Belgium (
https://uclouvain.be/fr/sites/louvain-la-neuve), a walkable city, that offers
a pleasant and dynamic living environment. The research project will be
supervised by Patrick Watrin.


University of Louvai


– A completed PhD in Computer Science, Machine Learning, NLP or a similar
– Excellent programming skills:
– Python
– TensorFlow/Keras or PyTorch
– Linux (server administration)
– Knowledge of the main supervised learning algorithms and deep learning
algorithms is required
– A good knowledge of the main NLP tools and algorithms is a plus
– Strong research track record (publications, conferences, etc.)
– Autonomy, teamwork, ability to understand and analyze needs,
– Excellent command of the French language (at least C1) and good command
of English (at least B2)

Educational level:

Ph. D.

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