Stage M2/Ingénieur Ce stage se déroulera sur une période de 6 mois entre janvier et juin 2025 et sera co-encadré par des chercheurs Cirad de l’UMR TETIS, Simon Madec et Roberto Interdonato. Vous trouverez l’offre de stage sur ce lien : https://nubes.teledetection.fr/s/mXoY5qYsQNnPRta Les étudiant.e.s intéressé.e.s peuvent envoyer CV, lettre de…
Stage M2/Ingénieur Mots clés: Sentinel-1, Machine Learning, Motorisation, Travail du sol Contexte Ce stage de Master s’inscrit dans le cadre du projet Desira Obysdia, qui a pour objectif de constituer une base de données cartographiques des paysages et des systèmes d’occupation des sols dans les zones Nord et Centre du…
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…
