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 availableCountry
France
University
Université de Lorraine

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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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