Context One of the principal research themes of the IRIMAS MIAM team concerns the development of advanced control strategies for autonomous vehicles operating in shared and dynamic environments Objectives This internship is conducted within the framework of a national and international collaborative project dedicated to the development of a novel…
reconstruction 3D des arbres, LiDAR, traitement de nuages de points, apprentissage profond, génération procédurale La reconstruction 3D constitue une tâche essentielle pour l’analyse urbaine et la production de jumeaux numériques à partir de données LiDAR. Si la reconstruction des bâtiments, notamment selon différents niveaux de détail (LoD), a été largement…
Location LAAS–CNRS, 7 Avenue du Colonel Roche, 31400 Toulouse, FranceKeywords Reinforcement learning, policy gradient, queueing theory, Jackson networks Context The internship is at the interface of two research domains: we will design reinforcement learning(RL) algorithms to solve challenging problems in queueing theory.Queueing theory1 is an area at the intersection of…
Advisors: Hugues Patural (Professor – PU-PH – CHU Saint-Etienne) and Olivier Alata (Professor, Hubert Curien Lab, UMR CNRS 5516) Host laboratory: Sainbiose Lab – DVH UMR 1059 INSERM / Université Jean Monnet, Saint-Étienne, France. Starting date: Spring 2026 – Application deadline : 15th of December, 2025 – Possibility of continuation…
Host laboratory: Connaissance et Intelligence Artificielle Distribuées (CIAD) – http://www.ciad-lab.fr. Université de technologie de Belfort-Montbéliard (UTBM). Keywords: deep learning, object re-identification (ReID), person re-identification (ReID), UAV vision, aerial imagery, computer vision, generative models (GAN, Stable Diffusion) Contacts: Abderrazak Chahi (abderrazak.chahi@utbm.fr), Mohamed Kas (mohamed.kas@utbm.fr), Yassine Ruichek (yassine.ruichek@utbm.fr) Description of the internship topic: Object Re-Identification (ReID)…
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Keywords : electrical impedance tomography, microwave imaging, multimodal imaging, deep learning prior, Plug-and-Play Context and challenges: Stroke imaging helps physicians to quickly tell whether a brain event is due to bleeding or a blocked vessel, and to follow the patient’s condition at the bedside. There is still no single radiation-free…
Towards a complete processing chain of 6D pose estimation for upper limb neuro-prostheses control Supervisors:Jenny Benois-Pineau (Labri, U Bordeaux), co-supervisor Renaud Péteri (MIA, U La Rochelle) Context The context of this internship is visual assistance for controlling bionic neuroprostheses. The LABRI and MIA laboratories are involved in a national project,…
Keywords AI, CT-Scan, foundation models, deep learning, Data fusion, personalized medicine Context Radiotherapy is a cornerstone of cancer treatment, enabling the selective destruction of tumor cells while controlling disease progression. Despite its proven efficacy across many cancer types, it can also inadvertently damage surrounding healthy tissues, leading to adverse effects…
