5 Physics PhD scholarships at Inria

PhD Position F/M -- Campagne Doctorant -- Explainable Deep Learning

interpreting the correlations and causalities identified. Data-driven AI approaches guided by models will initiate a well-known virtuous cycle process ranging from explanation (as a capability of AI tools

PhD Position F/M [Campagne doctorants] on distributed automated machine

that optimizes the machine learning process, making it more accessible and efficient for users with varying levels of expertise [1]. AutoML leverages algorithms and computational capabilities to automate key

PhD Position F/M Scalable Translation Validation for High-Performance

addressed to handle real-life HPC programs. How to parallelize the whole process? How to reduce the overall complexity? A trace-based solution could also be investigated. Validation. The approach will be

PhD Position F/M Embedded AI: Graph Neural Networks in Lossy Embedded

: messages are lost because of physical phenomena such as external interference and multi-path fading. A second challenge is that, in some use cases such as swarm robotics, real-time constraints come into play

PhD Position F/M Machine learning for efficient bimodal EEG-fMRI

physical model of the EEG headset on the one hand, and on a term learned on residuals by an AI model on the other. Prediction of fMRI activity using EEG signal : The main idea is to model EEG and fMRI