Université Paris-Saclay
Top university
1 week ago
PhD in Hybrid Evaluation of Natural Language Queries over Heterogeneous Data Lakes at Université Paris-Saclay Université Paris-Saclay in France
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
France
University
Université Paris-Saclay

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
PhD position in Paris, France at LISN – Laboratoire Interdisciplinaire des Sciences du Numérique, Université Paris-Saclay, within the LaHDAK team, on Hybrid Evaluation of Natural Language Queries over Heterogeneous Data Lakes.
The project is part of the ANR TopOL project and focuses on enabling non-technical users to explore and query large heterogeneous data lakes using natural language. The thesis topic combines structured and unstructured data sources, including relational databases, CSV/JSON/XML files, RDF and property graphs, PDF and text documents, Office documents, open data portals, and external knowledge sources.
Research interests include natural language query interpretation, AMR-based graph representations, graph-based query evaluation, vector-based retrieval and RAG, reconciliation of symbolic and neural retrieval results, provenance-aware and explainable answer generation, and estimation of temporal validity of answers.
The post is especially relevant for candidates interested in computer science, data management, knowledge graphs, semantic web technologies, information retrieval, natural language processing, retrieval-augmented generation, knowledge representation, and explainable AI.
Eligibility highlights: strong background in computer science and interest in one or more of the listed areas. The doctoral school is STIC, Université Paris-Saclay. Duration is 36 months, with an expected start in 2026.
Supervision is by Fatiha Saïs, Pierre-Henri Paris, and Benoit Groz. Interested candidates should review the full proposal and contact the team at topol@lisn.upsaclay.fr.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.