Type annonces : Proposition de poste
[StageM2] Deep Learning for Early Identification of Neurodevelopmental alterations through the Analysis of Cardiac Autonomic Regulation
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…
[StageM2] Deep learning for UAV-based object re-identification (ReID)
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)…
[StageM2] Robust Adaptive Sound Zones using Machine Learning on a Large Dataset
Figure: sound-field reconstruction example in the bright zone with our neural model for personal Sound Zones (sound field at 500Hz, extracted from Hrant Arzumanyan M.Sc. Thesis). Context and objectives Personalized Sound Zones (PSZs) allow controlling the acoustic signal emitted in a given spatial area [1]. It has applications in many…
[StageM2] AI-guided Plug-and-Play Electrical Impedance Tomography for Robust Stroke Imaging
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…
[StageM] Neuroporthèses Assistés par IA et vision LABRI UMR5800
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,…
[StageM2] Multimodal and robust prediction of radiotherapy toxicities: fusion of foundation models for low-resource data
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…
[PostDoc] Postdoctoral Researcher Position
AI/ML for Clinical Proteomics (DIA Mass Spectrometry Data) We are looking for a highly motivated Postdoctoral Researcher to lead the development of innovative Artificial Intelligence (AI) and Machine Learning (ML) models for the analysis of Data-Independent Acquisition (DIA) proteomics data. This position is part of the ANR-funded AIDIBOP project, which…
[StageM2] Stochastic guarantees in wireless communication networks
Contact: Ke Feng, Chargée de Recherche CNRS, ke.feng@ensea.frLab: ETIS UMR 8051, CYU, ENSEA, CNRS, 6 Av. du Ponceau, 95000 Cergy, FranceDuration: 6 monthsStarting Date: 02/2026 ContextThe objective of this internship is to explore performance guarantees (such as link reliability and delay) for next-generation wireless communication networks and to reduce the…
[StageM2 + Phd] Exploration of a new method for analyzing interferometric images applied to the study of planetary formation.
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…
-
![]()
Expertises du GdR - cartographie par Axes - 19/09/2025
![]()
Expertises du GdR - cartographie par mots-clés applicatifs - 19/09/2025
[StageM2] Deep Learning for Early Identification of Neurodevelopmental alterations through the Analysis of Cardiac Autonomic Regulation
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…
[StageM2] Deep learning for UAV-based object re-identification (ReID)
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)…
[StageM2] Robust Adaptive Sound Zones using Machine Learning on a Large Dataset
Figure: sound-field reconstruction example in the bright zone with our neural model for personal Sound Zones (sound field at 500Hz, extracted from Hrant Arzumanyan M.Sc. Thesis). Context and objectives Personalized Sound Zones (PSZs) allow controlling the acoustic signal emitted in a given spatial area [1]. It has applications in many…
[StageM2] AI-guided Plug-and-Play Electrical Impedance Tomography for Robust Stroke Imaging
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…
[StageM] Neuroporthèses Assistés par IA et vision LABRI UMR5800
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,…
[StageM2] Multimodal and robust prediction of radiotherapy toxicities: fusion of foundation models for low-resource data
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…
[PostDoc] Postdoctoral Researcher Position
AI/ML for Clinical Proteomics (DIA Mass Spectrometry Data) We are looking for a highly motivated Postdoctoral Researcher to lead the development of innovative Artificial Intelligence (AI) and Machine Learning (ML) models for the analysis of Data-Independent Acquisition (DIA) proteomics data. This position is part of the ANR-funded AIDIBOP project, which…
[StageM2] Stochastic guarantees in wireless communication networks
Contact: Ke Feng, Chargée de Recherche CNRS, ke.feng@ensea.frLab: ETIS UMR 8051, CYU, ENSEA, CNRS, 6 Av. du Ponceau, 95000 Cergy, FranceDuration: 6 monthsStarting Date: 02/2026 ContextThe objective of this internship is to explore performance guarantees (such as link reliability and delay) for next-generation wireless communication networks and to reduce the…
[StageM2 + Phd] Exploration of a new method for analyzing interferometric images applied to the study of planetary formation.
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…
-
![]()
Expertises du GdR - cartographie par Axes - 19/09/2025![]()
Expertises du GdR - cartographie par mots-clés applicatifs - 19/09/2025
