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

Laboratoire/Entreprise : Université de Bretagne Occidentale
Durée : 3 years
Contact : liana.ermakova@univ-brest.fr
Date limite de publication : 2023-10-15

Contexte :
The University of Brest has a fully funded PhD position (3 years) on AI for scientific text simplification. The PhD position is funded by the French National Research Agency (ANR) within the SimpleText project on automatic scientific text simplification (https://anr.fr/Projet-ANR-22-CE23-0019). We collaborate with a range of partners in the context of the related CLEF SimpleText track, and the candidate is encouraged to spend time as an intern at our research or industry partners (http://simpletext-project.com/2023/clef/). The PhD position is fully funded and you will be employed by the University of Brest for three years (full-time, with all employment benefits) and are expected to complete a PhD thesis within this period.

Sujet :
We seek an ambitious and highly talented PhD candidate to work on the interface of information retrieval (IR) and natural language processing (NLP) models applied to large-scale scientific text corpora. 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 NLP tasks such as 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 :
We are looking for a candidate with:
– an MSc in computer science, artificial intelligence (AI) or a related field;
– a strong scientific interest in NLP, IR, and AI;
– strong academic performance in university-level courses in the relevant subjects;
– demonstrable experience with machine learning and deep learning;
– experience in programming, software development, and data science tools;
– professional command of English and good presentation skills;
– the willingness to work collaboratively with other researchers and external stakeholders.

Formation et compétences requises :
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 deloor@enib.fr and liana.ermakova@univ-brest.fr. We accept applications until and including *13 October 2023*.
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) or a link to a writing sample available online, such as a Master’s thesis;
– A list of all Bachelor and Master-level modules you have taken, with an official transcript of grades;
– 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).

Adresse d’emploi :
liana.ermakova@univ-brest.fr