Post-Doc positions

From Machine Learning to Knowledge Compilation and back

Modeling shift from efficient to efficient to inefficient divided attention using EEG/fMRI/MEG

Implementation of neroadaptive technology to optimize humanS-machineS teaming.

Pushing the computational frontiers of reasoning with logic, probabilities and preferences

PhD positions

Robust human operator monitoring through signal processing and machine learning applied to physiological features

Certified programming framework for machine learning applications

Artificial Intelligence for Ecosystem Monitoring using Remote Sensing and Digital Agriculture Data

Game theory and artificial intelligence

Knowledge compilation for incomplete combinatorial optimization techniques

Automated POMDP model learning for driving Human- Robot Interaction

Compilation de contraintes pour la conception de satellite (Collaboration CIFRE avec Altran) 

Collective Perception, optimization of the V2X frequency channel(s) usage and CP message contents based on A.I (collaboration avec NXP)