Stage - Ontology aided Neuro-Symbolic Reasoning with LLMs H/F

Vacancy details

General information

Organisation

The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.

Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.

The CEA is established in ten centers spread throughout France
  

Reference

2025-38401  

Description de l'unité

Within the LIST Institute, at the NanoINnov Campus (Palaiseau), the Embedded and Autonomous
Systems Design Laboratory (LSEA) works on methods and tools for the design & development of
trustworthy autonomous systems that incorporate AI-based components. In particular, the LSEA's
Sustainable, Intelligent and Autonomous Systems (SIAS) team conducts research on enhancing the
reasoning, planning and adaptability capabilities of robotics systems.

Position description

Category

Information system

Contract

Internship

Job title

Stage - Ontology aided Neuro-Symbolic Reasoning with LLMs H/F

Subject

Study the SOA and approaches on LLMs/VLMs + reasoning, with emphasis on Ontologies and
other formal Knowledge Representation approaches.
• Research on the ways the interaction can be exploited and provide added value (e.g. conformity).
• Propose, produce and integrate into experiments that demonstrate the principles.
• Redact, propose, refine theoretical background supporting and explaining the claims.
The position is hybrid :
• Reading, research and writing.
• Coding and implementation.

Contract duration (months)

6 months

Job description

Rejoignez-nous en Stage ! 

The latest advances on AI and LLMs (and their variations) mean a next stage on technological
advancements. These technologies in turn, lead to new services, products and interactions, which are
currently shaping and impacting businesses, industries and people on daily basis, and at an
increasing pace. Yet, in part due to the fast advancement, in part due to the extraordinary tasks
accomplished by these technologies, the real capabilities and limits of LLMs along with their
integration with already existing approaches is still being unveiled.
This position is aimed at exploring and experimenting on hybrid (Neuro-Symbolic) technologies where
the interaction of LLMs and Symbolic AI is studied. Specifically, the work will be framed by the use of
Ontologies (Konwledge Representation artifacts) as domain specific knowledge, that guides, restricts
and conditions the interaction and responses of the LLMs/VLMs.
The integration of symbolic AI contibutes with traceability, interpretability, proveability and well
understood semantics, which we intend to propagate to generative AI solutions.

Internship Objectives

• Study the SOA and approaches on LLMs/VLMs + reasoning, with emphasis on Ontologies and
other formal Knowledge Representation approaches.
• Research on the ways the interaction can be exploited and provide added value (e.g. conformity).
• Propose, produce and integrate into experiments that demonstrate the principles.
• Redact, propose, refine theoretical background supporting and explaining the claims.
The position is hybrid :
• Reading, research and writing

Applicant Profile

Qualifications:

  • Students in the 2nd year of Master studies (M2 – France)
  • Programming skills. Expected to use: Python & Java.
  • Web technologies knowledge is a plus.
  • Basic understanding of Docker, Containers, GIT and command line commands.
  • LLMs basics knowledge.

Position location

Site

DAM Île-de-France

Job location

France, Ile-de-France, Essonne (91)

Location

Palaiseau

Candidate criteria

Languages

English (Intermediate)

Prepared diploma

Bac+5 - Master 2

Recommended training

Python, Java, LLMs, Logic (DL/OWL), Web Services