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Université de Lorraine

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Fully Funded PhD in Privacy-Preserving Speech Understanding with Multimodal Signals for Clinical Applications Université de Lorraine in France

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

France

University

Université de Lorraine

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Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Information Technology
Mathematics
Natural Language Processing
Medical Science
Large Language Models
ML

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About this position

We are recruiting for a fully funded PhD position in privacy-preserving speech understanding with multimodal signals for clinical applications.

The position is hosted by the MULTISPEECH team at LORIA (Université de Lorraine, Inria, and CNRS) in Villers-lès-Nancy, France, and funded by the AI Grand Est ENACT Cluster research chair.

Research topics include voice anonymization, spoken-content de-identification, speech and audio large language models, clinical spoken language understanding, multimodal learning with speech/text/additional signals, privacy–utility trade-off evaluation, and privacy attacks / robust evaluation for trustworthy AI.

Applicants should hold a Master’s degree or engineering degree in computer science, AI, speech/signal processing, applied mathematics, data science, or a related field. Helpful experience includes Python, PyTorch, Transformers, speech processing, machine learning, NLP, privacy-preserving learning, and multimodal modelling.

The position starts in October or November 2026, lasts 3 years, and offers a salary of €2,300 gross/month.

To apply or ask questions, contact [email protected]. A full description is available at the linked page.

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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