The thematic semester funds a set of five Master 2 internships in 2026. The selected projects and hosting teams are listed below. For any information, please email to mlsim2026-contact@inria.fr or directly to the corresponding supervisors.
Leveraging scientific machine learning to decode the molecular response of plants exposed to multiple stresses
- Labs: Institut Sophia Agrobiotech – Inria Acumes team
- Detailed topic: link
- Supervisors: Silvia Bottini & Régis Duvigneau
Improving leaf vein segmentation by simulating biological constraints
- Labs: Inria Iroko team – AMAP Syste team
- Detailed topic: link (english – french)
- Supervisors: Benjamin Bourel & Jérôme Munzinger
Prediction of water distribution networkflow : a graph-based time-series analysis
- Labs: LJAD – Eau d’Azur
- Detailed topic: link
- Supervisors: Rémi Catellier, Yassine Laguel & Agathe Maupetit
Machine learning for the control of collective dynamics in particle-laden flows
- Labs: Inria Callisto team – InPhyNi
- Detailed topic: link
- Supervisors: Laetitia Giraldi, Christophe Brouzet & Christophe Henry
Machine learning of drilling data for the definition of typical lithostratigraphic soil columns towards a 3D soil model of the city of Aix-en-Provence
- Labs: CEREMA/GeoAzur – Inria Acumes team
- Detailed topic: link
- Supervisors: Julie Regnier & Mickaël Binois