PhD Thesis – Low-Resource Fairness for Large Language Models: Black-Box Bias Evaluation and Mit[...]

Association française pour l'Intelligence Artificielle; Palaiseau, Arrondissement d'Évry; Sur place; EUR 20 000 - 40 000; Plein temps

Résumé du poste

A leading research organization in Île-de-France seeks a candidate for a PhD Thesis position involving research on Natural Language Processing and AI fairness. The role focuses on developing low-resource techniques for bias detection and mitigation in large language models, impacting various domains like education and recommendations. Candidates should have a background in relevant research fields. Applications should be sent to the provided email, and interviews are scheduled for late January.

Qualifications

• Research experience in Natural Language Processing (NLP).
• Knowledge of AI fairness and bias detection techniques.

Responsabilités

• Perform research on NLP and AI fairness.
• Work on bias detection and mitigation in large language models.

Description du poste

We are offering a PhD Thesis position to perform research on NLP and AI Fairness, in the ACMES Team of the SAMOVAR lab at IP Paris.

In this project, you will work on low-resource techniques for bias detection and mitigation in large language models, across a variety of domains, from education to recommendation systems.

You can find a detailed description of this position at the following link: https://partage.imt.fr/index.php/s/qzGZz4KBCMnsJso

To apply, please reach out to [e-mail]

Interviews will be held in late January.