The foundation model (FM) paradigm is undoubtedly a major breakthrough in Machine Learning (ML) for Artificial Intelligence (AI). An FM is a large-scale neural network pre-trained with self-supervision on a vast unannotated dataset and designed to perform downstream tasks with minimal fine-tuning on small annotated datasets. While FMs have made…
Dans le cadre du Collaborative Doctoral Programme entre le JRC et l’Université Bretagne Sud (UBS), nous recrutons trois doctorants ou doctorantes dans le domaine de la vision par ordinateur appliquée à l’observation de la terre avec des applications en soutien aux politiques européennes. Les thèses seront conduites au sein de…
See attached file or link for more details. Academic context IMT Atlantique, internationally recognized for the quality of its research, is a leading general engineering school under the aegis of the Ministry of Industry and Digital Technology, ranked in the three main international rankings (THE, SHANGHAI, QS). Located on three…
Mots-clés : Apprentissage statistique ; imagerie hyperspectrale ; télédétection ; photosymbiose ; vers de Roscoff. Description du sujet : Le ver de Roscoff (Symsagittifera roscoffensis) est un petit organisme marin vivant en photosymbiose avec une microalgue verte (Tetraselmis convolutae), ce qui en fait à la fois un modèle d’étude de…
Host Institution: IMT Atlantique (Brest, France) & INRIA-AIRSEA team (Grenoble, France) Duration: 6 months Pathway: Potential to continue into a fully funded PhD Please refer to the attached file for a detailed description of the project.
The whole PhD subject, including equations and figures, can be found at: https://partage.imt.fr/index.php/s/GQcfXmjY58Zkbbq 1. Context Artificial intelligence (AI) and deep learning approaches have produced impressive results on many problems of computer vision and image processing. The field of remote sensing, which exploits satellite or aerial images for Earth observation, also…
Host Institution: IMT Atlantique (Brest, France) & IGE (Grenoble, France) Duration: 6 months Pathway: Potential to continue into a fully funded PhD About the Project Please refer to the attached file for a detailed description of the project.
Summary The use of neural networks has recently renewed various fields of mathematical engineering. In particular, the field of weather forecasting has seen the emergence of such numerical weather forecasting models [Lam, 2022], [Kaifeng, 2023]. More generally, deep neural networks (DNN) have opened up new perspectives in the analysis or…
Mots- clés : temps-fréquence, signaux non stationnaires, apprentissage de représentations. Contexte Construire une représentation adaptée à la structure d’un signal est essentiel pour en faciliter la description, l’interprétation et l’exploitation. Par exemple, la simple observation temporelle d’un signal audio ne suffit souvent pas à en révéler la nature, alors qu’une…
Centre de Recherche Astrophysique de Lyon Advisors Ferreol Soulez (CRAL, Lyon) Jean-Philippe Berger (IPAG, Grenoble) Keywords: Inverse problems, High-Contrast Imaging, Sparse Aperture Masking, Circumstellar environnement Contact ferreol.soulez@univ-lyon1.fr Potential for a follow-up as a PhD thesis Scientific context: The study of the morphology of protoplanetary disks at very high angular resolution…
