Phd Position F/m Generative Ai for The

Le descriptif de l’offre ci-dessous est en Anglais_

**Type de contrat **:CDD

**Niveau de diplôme exigé **:Bac + 5 ou équivalent

**Fonction **:Doctorant

**A propos du centre ou de la direction fonctionnelle**:
The Inria center at Université Côte d'Azur includes 42 research teams and 9 support services. The center’s staff (about 500 people) is made up of scientists of different nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d'Azur, CNRS, INRAE, INSERM...), but also with the regional economic players.

With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d'Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.

**Contexte et atouts du poste**:
This PhD is part of the PLICIA project, which focuses on creating a software platform for managing and annotating medical data, particularly photographs and other medical images. The platform will also support the development of solutions for monitoring disease progression and treatment.

In particular, the project tackles the following critical challenge arising with the rapid advancement of AI solutions in healthcare: how to reconcile the development of efficient AI technologies with the need to enforce data privacy and safety. Simply removing sensitive information from medical images is often insufficient, as subtle biometric features within these images can still pose a re-identification risk.

One strategy to ensure privacy in machine learning is to generate anonymized images from sensitive datasets. These anonymized images can then be shared more freely in a data lake for training AI algorithms without compromising privacy.

**Mission confiée**:
The objective of this thesis is to develop generative AI models that address the challenge of anonymizing medical images. A key difficulty in this process is ensuring that the anonymized images remain useful for tasks such as diagnosis and pathology detection, while effectively eliminating the risk of patient re-identification. The research will aim to create versatile solutions that can be applied across various medical imaging modalities and clinical scenarios.

**Principales activités**:
Main activities (5 maximum) : propose effective solutions for the anonymisation of medical images, evaluate the performance of those solutions on the platform of the project, write scientific papers, present the works’ progress to partners.

**Compétences**:

- Master degree with strong competences in statistical learning and mathematical modeling, as well as knowledge in medical imaging, signal and image processing (Master 2 level).
- Solid programming and IT skills are necessary (Python or C++, bash scripting, version control systems).
- Strong communication abilities with fluent English (written and spoken)

**Avantages**:

- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training

**Rémunération**:
Gross Salary per month: 2100€ brut per month (year 1 & 2) and 2190€ brut per month (year 3)

**Informations générales**:

- **Thème/Domaine**: Neurosciences et médecine numériques
Statistiques (Big data) (BAP E)
- **Ville**: Sophia Antipolis
- **Centre Inria**: Centre Inria d'Université Côte d'Azur
- **Date de prise de fonction souhaitée**: 2024-11-01
- **Durée de contrat**: 2 ans
- **Date limite pour postuler**: 2024-10-31

**Consignes pour postuler**:
**Sécurité défense**:
Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement.

**Politique de recrutement**:
Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap.

**Contacts**:

- **Équipe Inria**: EPIONE
- **Directeur