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

Laboratoire/Entreprise : LS2N – Nantes
Durée : 36
Contact : pascal.molli@univ-nantes.fr
Date limite de publication : 2023-05-31

Contexte :
ANR MeKaNo

Sujet :
The objective of the PhD is to search the web with Things (More details about the positions are available [1]) relying on Semantic Web technologies. Our particular interest is the scalable support for indexing and searching on the web with concepts.

[1]https://docs.google.com/document/d/1hMp3tHupKe1WvW9zSMajY0bSua5oEp1JKNRtRY4zEP0/edit?usp=sharing

Profil du candidat :
Applicants for a PhD position must have a Master’s degree in computer science or a closely related field.

Formation et compétences requises :
Applicants must also have a strong background in data and knowledge engineering, graph data management and querying. Additional knowledge and experiences in the following areas are highly appreciated: data integration (data lakes, fabrics), provenance, machine learning, dynamic knowledge graphs, and data science. Outstanding spoken and written communication skills in English are essential.

Adresse d’emploi :
LS2N
Université de Nantes – faculté des Sciences et Techniques (FST)
Bâtiment 34
2 Chemin de la Houssinière
BP 92208, 44322 Nantes Cedex 3

Document attaché : 202303071700_Searching the web with Things – Master thesis 2022.pdf