6 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" scholarships at Inria, the French national research institute for the digital sciences

PhD Position F/M Geometric-Semantic Adaptation of Multimodal LLMs for High-level Landmark Detection in Complex Environments

Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 13 hours ago

Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical

PhD Position F/M Dynamics-Aware Graph Transformers for Predicting Allosteric Communication

Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 13 hours ago

Computer Science, Machine Learning, Bioinformatics, Computational Biology, or related fields. Strong experience in deep learning, ideally with PyTorch. Proven experience with graph neural networks, geometric deep

PhD Position F/M Distributed Dimensionality Reduction for Large-Scale Physical Simulations

Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 18 days ago

leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for

PhD Position F/M Foundation Models and Natural Language Interaction for Human-Robot Collaboration

Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 16 days ago

to intertwine a multi-contact whole-body controller, a digital simulation of the interacting humans, and machine learning models to predict and respond to human movements and intentions. In a crescendo of

PhD Position F/M Next-generation Bayesian inference for Earth and Space Science

Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago

. Picchini. Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. Transactions on Machine Learning Research, 2024 Kugler, F. Forbes, and S. Douté. Fast

PhD Position F/M Improving wave modeling and inversion in HPC framework

Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago

) the exploration of mixed-precision arithmetic in the context of high-order discontinuous discretization methods, and (2) the integration of machine learning techniques to complement and enhance traditional