Postdotoral position This project relies on a collaboration between two partners: CEA/DRF/IRAMIS/LLB and CEA/DES/LIAD. These labs have joined their expertise to work on a novel approach to determine the interaction parameters of a given Hamiltonian, by leveraging innovative AI methodologies to analyze neutron scattering spectroscopy data. LLB is a joined…
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,…
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…
Stage M2/PFE/Ingénieur Contact: Prof. Rafik ZAYANI – rafik.zayani@univ-rennes.fr
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…
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…
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…
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…
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…
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…
