[Stage R&D pre-Thèse CIFRE] : Modèles à base d’arbres explicables et contrôlables, applications sur cas réels

ília(1 month ago)

Paris, FranceOnsiteInternshipIntern$67,953 - $95,208 (estimated)Research

About this role

Internship focused on research into robust uncertainty quantification methods for large language models, with an emphasis on applicability to black-box and resource-constrained deployments. The project aims to adapt and validate entropy-based supervised estimation approaches and produce reproducible research outputs integrated into an open-source Python library. The role is offered to students finishing a Master's (bac+4/5) with a start in Sept/Oct 2025.

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Required Skills

Python
Scientific Computing
Data Processing
Probability Theory
Statistics
Machine Learning
Algorithm Implementation
Research Writing
LLMs
Uncertainty Quantification

+1 more

Qualifications

Bac+4/Bac+5 (Master's level)
University or Engineering School Enrollment

About ília

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