Stage de M2 / Ingénieur Nous proposons un stage de Master en Machine Learning sur Graphes (GNN et VGAE) pour des applications en imagerie multimodales (médicales ou environnementales). L’objectif de ce travail n’est pas seulement de produire un système de classification obtenant de bonnes performances mais aussi de mettre en…
Keywords: Pose estimation, GPS, LIDAR, visual odometry Duration: 18 months Localization: Institut Clément Ader (Toulouse, France) Our team is recruiting a post-doctoral researcher to carry out research related to the positioning of UAVs and the pose estimation of the imaging devices during outdoor testing. This includes but is not limited…
Stage M2 1. General information 2. Context, description and objectives This internship will deal with the problem of visual localization, which involves determining a camera’s viewpoint by automatically matching features in an image with elements from a known 3D model of the environment. These features are referred to as landmarks….
Stage M2 / PFE 6 months internship at IETR (Rennes) Context The internship will be part of the MoBAIWL project (Model-Based frugal AI for efficient WireLess communication systems), which aims to design efficient data processing methods for future wireless communication systems (6G and beyond), using physical models to structure, initialize…
Stage M2 + thèse L’analyse topologique de données permet d’identifier de manière robuste des structures d’intérêt au sein de données complexes. Dans le cas de données variant dans le temps, il est possible d’extraire ces structures pour chaque pas de temps, puis d’estimer un appariement optimal entre les structures de…
Stage M2 Temporal graphs, which model interactions over time, are essential for analyzing datasets in fields like Industry 4.0 and cybersecurity, but their sparsity and irregularity make change point (CP) detection challenging. Recent research suggests that using time-series and graph dictionaries to transform temporal graphs into new dynamical-structural domains can…
Stage M2 / ingénieur The Master Thesis/internship position will focused on the prediction of water resources and pollutants in the air in the context of environmental digital twins. Profile: Academic level equivalent to a Master 2 in progress or Engineer in its last year in computer science Duration: 5 to…
Stage M Transportation systems with scheduled travels, like trains, flights, and buses, pose optimization challenges such as finding the fastest routes or maximizing stops within a time frame, which fall under the temporal graph exploration problem (TEXP). Despite its importance in fields like logistics and cybersecurity, TEXP’s NP-hardness makes exact…
Stage M2 Keywords: Fast Bayesian inference, Signal processing, Gravitational waves, Machine learning In 2016, the announcement of the first direct detection of gravitational waves ushered in an era in which the universe will be probed in an unprecedented way. At the same time, the complete success of the LISA Pathfinder…
Stage M2 Nous sommes à la recherche d’un(e) candidat(e) motivé(e) pour rejoindre notre équipe dans le cadre d’un stage de recherche. Si vous êtes passionné(e) par l’intelligence artificielle, la vision par ordinateur ou les mathématiques/informatique appliquées, et que vous souhaitez contribuer à un projet innovant, cette opportunité est faite pour…
