The CODAG (Constraints, Ontologies, Data, Annotations, Graphs) research group 
will recruit a full-time maître de conférences (associate professor) in spring 
2024.
CODAG is one of the six GREYC (UMR CNRS 6072) research groups; it is made up of 
around thirty members, including twelve tenured full-time associate and full 
professors of the University of Caen Normandy.
The team's research scope corresponds to computer science for data science, 
further information can be found below.

If you are interested in this position, you should initiate initial contact 
with us, via a member of the team, or the group leader 
(bertrand.cuiss...@unicaen.fr).
We can then discuss to identify areas of common interest.

Do not hesitate to contact us,
Sincerely,

Bertrand Cuissart, CODAG group leader

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Research group profile:

The CODAG (Constraints, Ontologies, Data, Annotations, Graphs) group actively 
participates in developments in data science by bringing together researchers 
from complementary scientific cultures. The scope of the research encompasses 
the entire data processing chain, from data preparation to the design of 
models, to how to express results. The team's research work mainly focuses on 
the following topics: declarative approaches to constrained optimization, data 
mining, automatic language processing, knowledge engineering, learning and 
decision support.

The team is deeply involved in interdisciplinary projects by collaborating with 
experts from other fields: specialists in sports data analytics, chemical 
information or textual data, among others.

Particularly recognized for results based on the diversity of its scientific 
skill set, CODAG aims to continue work in this direction.

Through the recruitment, the team wishes to develop its ability to integrate 
current computer science techniques for data science such as those encountered 
in machine learning, whether as objects of study, as a paradigm, or simply in 
terms of practical usage. With this in mind, we are also interested in the 
exploitation of small datasets, interactive mining, formal concept analysis, 
constraint programming, and ontological knowledge management.

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