Phd Position F - M Phd - Building a Foundational Model For Abdominal Ct Imaging 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 PhD - Building a foundational model for abdominal CT imaging
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

A propos du centre ou de la direction fonctionnelle

The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris .

The centre has , 27 of which operate jointly with Paris-Saclay University (15 teams) and the Institut Polytechnique de Paris (12 teams). Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.

The centre also hosts the , dedicated to data sciences and their disciplinary and application interfaces.

Contexte et atouts du poste

The Greater Paris University Hospitals Data Warehouse (EDS AP-HP) contains multimodalclinical data (PMSI, imaging, biological, and clinical documents) for over 14 million patients. The ANR FM2AI projet proposes to leverage50,000 real-world clinical 3D CT scans from thisexceptional data resource, to deploy a novel foundation model for abdominal-pelvic CTImaging.

In this context, we are seeking for a PhD candidate with anexcellent background in AI,to build an open-source foundation model adapted to abdominal 3D CT radiology, along with a versatile toolbox to integrate it in task-oriented tools for an effective clinical integration.The model will be validatedon three downstream tasks of abdominal-pelvic oncology, in coordination with our AP-HP partners, namely (1) Colonic Cancer Staging ; (2) HCC Treatment Optimization ; (3) Pancreatic Cancer Resectability and Prognosis.

Mission confiée

Missions:Data Collection and Foundation model training - Coordination with APHP for the creation of a representative dataset for abdominal-pelvic CT imaging, ensuring data accessibility, filtering, and preprocessing - Develop a foundation model specifically trained on abdominal-pelvic CT imaging- Evaluation and specification on downstream tasks.

Environment: The phd student will be supervised by Emilie Chouzenoux (Head of OPIS team, Inria Saclay), and will interact regularly with the members of the ANR FM2AI consortium. The student will join the Inria Saclay team OPIS (https://opis-inria.eu/). He/she will be located in the Centre de la Vision Numérique, in CentraleSupélec campus, Saclay, France. He/she will enjoy an international and creative environment where research seminars and reading groups take place very often. Informatic material expenses will be covered within the limits of the scale in force.

Starting date is flexible, from the 1st Oct. 2026.

Principales activités

Main activities:

Programming in Python/PyTorch environment

Bibliographical study

Dataset curation

Deep learning architecture design/training/testing

Writing of scientific reports

Compétences

Languages : The candidate must be fluent in english and/or french languages.

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

Rémunération

2300€ gross/month