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PhD Researcher in AI Model Audit and Uncertainty Quantification
il y a 1 mois
This PhD research position is part of a team at Inria Saclay, focused on developing mathematical tools for auditing complex AI systems. The goal is to provide actionable insights into the reliability of these systems, especially in high-stakes applications like healthcare.
Company OverviewInria is a French national research institute with a strong focus on digital sciences. Our team, Soda, works on computational and statistical research to harness large databases on health and society, while developing core software tools like scikit-learn.
Job DescriptionThe successful candidate will work on decomposing proper scoring rules into calibration, grouping, and irreducible errors. This involves developing an estimator for the grouping term, enabling a comprehensive characterization of errors in probabilistic predictions. Using these tools on large language models can reveal cultural biases that can be partly corrected.
Key Responsibilities:- Developing mathematical results and related algorithms for auditing AI systems
- Numerical implementation and experimentation of these tools
- Formalizing the problem and bridging to decision theory and notions of utility
We are looking for a highly motivated individual with a strong background in mathematics, statistics, and computer science fundamentals of machine learning. Proficiency in Python, numpy, and scikit-learn is essential, as well as good written and spoken English proficiency.
BenefitsThis PhD position comes with a competitive salary of €2,100 gross/month. Additionally, you will enjoy subsidized meals, partial reimbursement of public transport costs, and access to professional equipment and vocational training.
