Postdoc/Research Engineer position in AI/IR – University of Brest, France

Christophe Bobineau
Calendar
When:
15/07/2025 all-day
2025-07-15T02:00:00+02:00
2025-07-15T02:00:00+02:00
Jobs

Offre en lien avec l’Action/le Réseau : SimpleText/– — –

Laboratoire/Entreprise : HCTI, University of Brest, France
Durée : 12 months
Contact : liana.ermakova@univ-brest.fr
Date limite de publication : 2025-07-15

Contexte :
ANR JCJC SimpleText project: Automatic Simplification of Scientific Texts (https://anr.fr/Projet-ANR-22-CE23-0019) in partnership with the University of Amsterdam

Application
If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. Job applications should be sent to liana.ermakova@univ-brest.fr. We accept applications until and including 13 July 2025.

Applications should include the following information:

– A detailed CV including the months (not just years) when referring to your education and work experience;

– A letter of motivation explaining how the project is related to your research background;

– A list of publications (in case of joint authorship, please clearly indicate your own contribution);

– The thesis;

– The names, affiliations, and email addresses of two academic referees who can provide details about your academic profile in relation to this position (please do not include any reference letters in your application).

Sujet :
We seek an ambitious and highly talented postdoc to work on the interface of information retrieval (IR) and natural language processing (NLP) models applied to large-scale scientific text corpora. The recruited person will work as part of the ANR JCJC SimpleText project: Automatic Simplification of Scientific Texts (https://anr.fr/Projet-ANR-22-CE23-0019) in partnership with the University of Amsterdam. Our project aims to develop effective and efficient IR and NLP technology for promoting scientific information access and to support non-professionals searching for scientific information in academic literature. Specifically, we deploy large language and foundation models for the RAG (retrieval augmented generation) setup in the context of text simplification. There is considerable flexibility to shape the project to emerging research opportunities and the background and interests of the candidate.

Profil du candidat :
The candidate should have a PhD in AI/NLP/IR and a strong motivation for the project topic.

Formation et compétences requises :

Adresse d’emploi :
HCTI, University of Brest
20 rue Duquesne
29200 Brest
France