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.
