Type annonces : Proposition de poste

Toward Proactive Intelligence: Environmental Contextual Information and Gesture Recognition for Characterizing Affordances in Human-System Interactions

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PhD position CESI LINEACT has an open position for a PhD student to develop affordance caracterization algorithms based on contextual information. The position is located on CESI Campus Dijon. Toward Proactive Intelligence: Environmental Contextual Information and Gesture Recognition for Characterizing Affordances in Human-System Interactions Scientific fields: Artificial Intelligence, Computer Vision,…

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Plug-and-Play for synthetic aperture radar

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Stage M2 ou équivalent The full subject, including references and figures, can be found at https://partage.imt.fr/index.php/s/MCwCbpRewPQCwsk Context The remote sensing field aims at exploiting satellite or aerial images for earth observation. This, in turns, has an increasingly important social impact, as the applications fo these methods include tackling key challenges…

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Performance Evaluation of Cell-Free Massive MIMO (CF-mMIMO) over Realistic Propagation Models and Development of GenAI Models for Channel Data Augmentation

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Stage M2/PFE/ingénieur Description: This internship will be conducted at IETR – Rennes University, in collaboration with IEMN – Lille University. The goal is to evaluate and enhance the performance of cell-free massive MIMO (CF-mMIMO) systems using advanced signal processing and data-driven techniques. Specifically, the intern leverage signal processing schemes for…

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Self-supervised training strategies for deep hyperspectral unmixing and uncertainty quantification

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Stage M2/Ingénieur (+thèse) The full subject, including images and references, can be found at https://partage.imt.fr/index.php/s/4kZRXNwMfaZrscn Context The remote sensing field aims at exploiting satellite or aerial images for earth observation. This, in turns, has an increasingly important social impact, as the applications of these methods include tackling key challenges such…

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Evaluation and Combination of Perception Methods in Robotics

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Stage master Research team: RAP, Robotic department — LAAS-CNRS, Toulouse, FranceAdvisors: Maxime Escourrou (maxime.escourrou@laas.fr), Ariane Herbulot (ariane.herbulot@laas.fr)Duration: 4 — 6 monthsSchooling level: MasterStarting date: Flexible around March 2025 Keywords: Perception, Computer Vision, Data fusion, Robustness The aim of this internship is to evaluate the results of several object tracking methods…

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Design of an Unrolled Neural Network for Hyperspectral Pansharpening

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Stage M2/Ingénieur Pansharpening is a fundamental and crucial task in remote sensing which generates a high-resolution hyperspectral image by fusing a low-resolution hyperspectral image and a high-resolution panchromatic (or multispectral) image. A range of methods formulate pansharpening as an inverse problem from which iterative algorithms are derived. Those methods depend…

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Face Swapping Temps Réel

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Stage M2/Ingénieur L’équipe SAFE du laboratoire GREYC situé à Caen propose un stage de recherche d’une durée de 6 mois sur la génération de deepfake vidéos, sujet d’actualité notamment depuis l’utilisation des techniques d’apprentissage profond (deeplearning) et de GAN inversés. Les étudiants intéressés peuvent envoyer leur candidature à : Christophe…

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Evaluation and Application of Foundation Models for 6D Pose Estimation in Industrial Environments Using Digital Twins

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Stage M2 Scientific Fields: Computer Vision, Industry of the Future Keywords: Foundation Models, 6D pose estimation, Digital Twin, Synthetic and Hybrid Dataset, Manufacturing environments Supervision Name Position, Title @ Nicolas Ragot Associate professor nragot@cesi.fr Vincent Havard Associate professor, HDR vhavard@cesi.fr Works Details of the tasks This M2 internship is part…

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Explainable AI Based on Physics and Optimal Transport

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Postdoctoral position The aim of this postdoctoral research project is to develop deep learning models that integrate causal and correlation relationships, focusing on enhancing the explainability of AI systems. This research project could also be expanded to explore the application of diffusion-based generative models within the context of explainable AI….

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