[PET] Fully-Funded PhD position at INRIA/Privatics on Medical Data Privacy

Claude Castelluccia claude.castelluccia at inria.fr
Wed Jul 26 15:03:32 BST 2017

Dear colleagues,

we have a Phd position at Inria/Privatics to work on medical data privacy, in the context
of the newly established Grenoble Data Institute (Data at UGA: https://data-institute.univ-grenoble-alpes.fr).

Please help us spread the word by forwarding to anyone who might be interested.


Phd position on Medical Data Privacy.

Medical and health datasets are used in a variety of applications. These datasets
are important since they can help us analyzing  and understanding interesting patterns.
While the benefits provided by these datasets are indisputable, they unfortunately
pose a considerable threat to privacy.

The main goal of this project is to study the problem of medical data privacy and
propose privacy-preserving solutions.  One task is to design, implement and evaluate
novel and practical anonymization schemes for medical data.
Another objective is to design Privacy-preserving Machine-learning algorithms. One
promising direction is federated learning. Standard machine learning approaches require
centralizing the training data in one location. This requires that all participating entities,
such as hospitals, share their datasets.  Federated Learning enables different entities to
collaboratively learn a shared prediction model without sharing their training data.

This position is located at Inria Grenoble and is funded by the newly established UGA
Data Institute (Data at UGA: https://data-institute.univ-grenoble-alpes.fr).

Interested applicants should send a letter of interest, CV, and contact information for two professional references.

Questions may be sent to:  claude.castelluccia at inria.fr <mailto:claude.castelluccia at inria.fr>

Please feel free to forward this announcement to your colleagues.

Claude C.
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