Internship on Artificial Intelligence and Network Intrusion Detection H/F

Descripción del puesto:

Description du poste

Domaine

Systèmes d'information

Contrat

Stage

Intitulé de l'offre

Internship on Artificial Intelligence and Network Intrusion Detection H/F

Sujet de stage

This internship focuses on using Small Language Models (SLMs) to automate the characterisation of NIDS alerts.

Durée du contrat (en mois)

6

Description de l'offre

Context:
Network intrusion detection systems (NIDS) are software components that analyse network traffic and raise alerts when anomalous behaviour is detected. These systems increasingly rely on artificial intelligence to dynamically learn normal patterns in network traffic and identify abnormal behaviour.
A primary challenge in the deployment of AI-based NIDS is automating the correlation of disparate NIDS alerts and the characterisation of ongoing attacks. Large language models (LLMs) are strong candidates for these tasks due to their general ability to undertake network- and security-related tasks of varying complexity.
However, due to security and ownership concerns, relying on cloud-based LLM providers is often not viable. Consequently, on-premise small language models (SLMs) are frequently chosen as a replacement.

Scope of the internship:
This internship will focus on employing SLMs for correlating and characterising NIDS alerts. More specifically, the candidate is expected to investigate different approaches for using on-premise SLMs that ultimately enables to characterise attacks based on MITRE ATT&CK TTPs. Such approaches may make use of agentic workflows and/or information retrieval techniques such as retrieval-augmented generation (RAG).

Profil du candidat

Required:
* Education: Engineering or Master's degree (final year of study).
* Language: Proficiency in English (written and verbal).
* Cybersecurity: Knowledge of network protocols and cybersecurity principles.
* AI/ML: Understanding of AI/machine learning concepts and tools (NumPy, Pandas, TensorFlow/PyTorch).
* Programming: Good programming skills (Python, C/C++, or other C-like languages) and basic understanding of DevOps fundamentals (Git, Docker).
Nice-to-have (but not required):
Experience with LLMs and related frameworks (Hugging Face Transformers, Unsloth, LangChain, llama.cpp).

Localisation du poste

Site

Saclay

Localisation du poste

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

Ville

Palaiseau

Critères candidat

Langues

Anglais (Courant)

Diplôme préparé

Bac+5 - Diplôme École d'ingénieurs

Possibilité de poursuite en thèse

Non

Demandeur

Disponibilité du poste

15/06/2026