Phd Position F - M Probabilistic Non-Rigid Image Registration For Safe Brain Tumor Surgery H/F - INRIA

A propos d'Inria

Inria est l'institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l'interface d'autres disciplines. L'institut fait appel à de nombreux talents dans plus d'une quarantaine de métiers différents. 900 personnels d'appui à la recherche et à l'innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'eorce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.
PhD Position F/M Probabilistic Non-Rigid Image Registration for Safe Brain Tumor Surgery
Le descriptif de l'offre ci-dessous est en Anglais
Type de contrat : CDD

Niveau de diplôme exigé : Bac +5 ou équivalent

Fonction : Doctorant

Niveau d'expérience souhaité : Jeune diplômé

Contexte et atouts du poste

Within the framework of a partnership (you can choose between)

- public withPR[AI]RIE-PSAI Institute

Mission confiée

Assignments :

With the help of Bertrand Mathon (HDR) and Reuben Dorent (Inria, PR[AI]RIE-PSAI junior fellow), the recruited person will be taken to:

- Develop non-rigid, multimodal, and real-time image registration methods designed for large deformations with topological changes that explicitly predict local uncertainty to enable informed decisions by surgeons
- Develop innovative probabilistic non-rigid registration algorithms that compute dense correspondences between preoperative MRI and intraoperative ultrasound images

Collaboration :

The recruited person will be in a multidisciplinary environment:

- Bertrand Mathon, neurosurgeon at Hôpital Pitié-Salpêtrière and PI of the BRIGHT team at ICM, who provides clinical expertise and access to patient data for validation
- The rich multidisciplinary PR[AI]RIE-PSAI ecosystem

Responsibilities :

- Developing new methods for multimodal probabilistic feature matching and physically-inspired interpolation with uncertainty quantification
- Locating driving points at key surgical boundaries visible in both iUS and MRI
- Learn deep representations adapted to image registration

Principales activités

Analyse and implement related work.
Design novel innovative solutions.
Write progress reports and papers.
Present work at conferences.

Compétences

Technical skills and level required : programming skills are required.

Languages : English and possibly French.

Relational skills : Good communication skills.

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
- Social security coverage