[StageM2] Transfert simulation-expérience pour la tomographie diffuse optique par apprentissage profond

Contexte scientifique La tomographie optique diffuse (Diffuse Optical Tomography, DOT) est une technique d’imagerie non invasive permettant d’estimer les propriétés optiques de tissus biologiques à partir de mesures de lumière diffusée en surface. Elle présente notamment un intérêt pour l’imagerie préclinique. Cependant, le caractère fortement diffusant des tissus biologiques   aux…

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[Postdoc] High-Altitude Surveillance using Passive Radar

Post-doc position in statistical signal processing at the research center of the french air and space force academy. Context :With the rapid development of aerospace technologies, very high altitude (VHA) has become a growing focus of competition, both for its operational advantages and the sovereignty challenges it presents. Defining the…

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[StageM2] Analyse de données spatio-temporelles et Machine Learning pour la cartographie de polluants à partir de réseaux de capteurs

Sujet proposé par : –  CRAN (Centre de Recherche en Automatique de Nancy), Campus sciences – Bd des Aiguillettes B.P. 70239, Vandœuvre-lès-Nancy Cedex. Contact : S. MIRON (03 72 74 53 37, sebastian.miron@univ-lorraine.fr) –  INRS (Institut National de Recherche et de Sécurité), 1 rue du Morvan, CS60027, 54501 Vandœuvre-lès-Nancy Cedex. Contact : P….

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[PhD] (CIFRE): Segmentation and temporal tracking of pancreatic tumors in endoscopic ultrasound using deep learning

The Laboratoire d’Informatique et des Systèmes (LIS UMR 7020, Aix-Marseille University), the SNEF group and Hôpital Saint Joseph in Marseille are recruiting a PhD student for a 36-month CIFRE thesis. Pancreatic adenocarcinoma is one of the deadliest cancers, and endoscopic ultrasound (EUS) is the reference examination for detecting it. Interpreting…

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[PostDoc] in Contactless Photoplethysmography and Artificial Intelligence

Location: Metz, FranceHost institution: Université de LorraineResearch laboratory: LCOMS – Laboratoire de Conception, Optimisation et Modélisation des SystèmesFunding: Université de Lorraine – AM2I Excellence Postdoctoral Programme 2027Duration: approximately 6 months*Expected starting date: 2027Application deadline: 15 oct 2026 Research project The LCOMS laboratory at Université de Lorraine is seeking an outstanding…

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[PhD] Computer Vision Algorithms for Robotic Weeding

Description Autonomous robotic weeding systems represent a promising alternative, as they can identify and eliminate weeds mechanically while preserving crops and minimizing soil disturbance. However, achieving reliable operation under real-world agricultural conditions remains challenging due to variations in illumination, different plant growth stages, uneven terrain, occlusions, dust, and the strong…

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[Postdoc] – Late Data Fusion for Exoplanet Characterization

Workplace : Univ. Grenoble Alpes (Grenoble)Contract Period : 24 monthsExpected date of employment : 1 September 2026 (flexible)Remuneration (gross salary) : 3041€/monthHow To Apply: complete the form on the CNRS offer site Missions More than 5,000 exoplanets have been discovered to date. The inventory is still ongoing, but our field…

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[PhD] in Self-Supervised Learning and Vision Foundation Models for Fish Species Recognition from Underwater Video Images

Starting date: September 2026 Application deadline: Open until the position is filled Duration: 36 months Net salary: Approximately €1810 per month. Workplace: Lab-STICC UMR 6285 CNRS, Brittany INP – ENIB, Brest, France Funding: Fully funded by Brittany INP through a French ministerial doctoral contract Context of the PhD position:Lab-STICC is…

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[PhD] CIFRE EURECOM x IMRA, Sophia Antipolis – Event-based Vision for Navigation in Autonomous Systems

Description Robots, cars as well, are expected to become increasingly autonomous and efficient in terms of navigation, thanks to a range of sensors and the associated data processing based on artificial intelligence. Among existing sensors, event-based cameras offer numerous advantages, however, they have not yet been studied extensively enough to…

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