Publisher
source

Université Grenoble Alpes

PhD in Multimodal and Social Grounding of Speech Language Models for Human Language Acquisition Université Grenoble Alpes in France

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

France

University

Université Grenoble Alpes

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Keywords

Computer Science
Cognitive Science
Electrical Engineering
Computer Vision
Robotics
Social Robotics
Linguistics

About this position

🚀 PhD opportunity in Speech Language Models, LLMs, and Human Language Acquisition at GIPSA-lab (CNRS / Université Grenoble Alpes) and the Centre Inria de l’Université Grenoble Alpes.

The project is titled “Multimodal and Social Grounding of Speech Language Models for Studying Human Language Acquisition” and explores a key question: how do children learn language from raw sensory experience and social interaction, and how can these mechanisms inspire the next generation of conversational AI systems?

This PhD sits at the intersection of speech and language processing, multimodal machine learning (including SSL and RL), computer vision, social robotics, and cognitive science. It is a strong fit for candidates interested in combining computer science, linguistics, and cognitive science to study language learning and build more grounded AI systems.

The position is fully funded through the DevAI&Speech Chair of the Grenoble AI Research Institute (MIAI Cluster IA). The post does not mention a deadline, language waiver, or fee waiver.

Eligibility highlights: interest in bridging AI and cognitive science; motivation for multimodal speech/language modeling and human language acquisition research.

How to apply: review the project details via the linked page, then contact Thomas Hueber for further information and next steps.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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