[StageM2+PhD] in Signal Processing: Time–Frequency Analysis

Duration: 6 monthsStart date: From February 2026Level: Master’s degree (M2 or equivalent) in Applied Mathematics, Signal or Image ProcessingAllowance: According to current French regulations (approximately €630/month)Location: IRIMAS Institute – IMTIS team, University of Haute-Alsace, Mulhouse, FranceKeywords: time–frequency analysis, frame theory, optimization, off-grid sparsity Context and Objectives This internship focuses on…

Lire la suite

[StagesM2] en vision par caméra à événements / Internships in event camera vision / Heudiasyc UTC Compiègne

Nous proposons 3 stages de Master liés à la vision événementielle / We propose 3 Master internships related to event vision Laboratoire : Heudiaysc UMR CNRS 7253 à Compiègne, équipe SyRI https://www.hds.utc.fr/recherche/equipes-de-recherche/syri-systemes-robotiques-en-interaction/ Sujet 1) : Réseaux de neurones légers pour la vision basée événementsPosition 1): Lightweight neural networks for event-based…

Lire la suite

[StageM2] MAPS-FM : Multi-Annotator-Aware Prostate Segmentation with Foundation Models for reliable and interpretable outcomes

Context Accurate segmentation of the prostate and its anatomical zones – Transitional Zone (TZ), Peripheral Zone (PZ), and the whole gland – from Magnetic Resonance (MR) images is essential for biopsy targeting, radiotherapy planning, and surgical decision-making. However, segmentation remains subjective: even experienced radiologists produce variable contours, particularly at the…

Lire la suite

[StageM2] MAPS-FM : Multi-Annotator-Aware Prostate Segmentation with Foundation Models for reliable and interpretable outcomes

Context Accurate segmentation of the prostate and its anatomical zones – Transitional Zone (TZ), Peripheral Zone (PZ), and the whole gland – from Magnetic Resonance (MR) images is essential for biopsy targeting, radiotherapy planning, and surgical decision-making. However, segmentation remains subjective: even experienced radiologists produce variable contours, particularly at the…

Lire la suite

[StageM2] Statistical Shape Models of the Lower Limb: Comparing Mesh Correspondence Methods 

Keywords: Medical Image Analysis, Statistical Shape Model, Mesh Correspondence, Artificial Intelligence, Multi-Object (tibia, muscle, skin) Born from the complementarity between the field of health and communication sciences, the LaTIM is a research lab which leads multidisciplinary research driven by scientists, engineers, and physicians from the University of Brest, IMT Atlantique,…

Lire la suite

[StageM2+PhD] Modeling Infant Visual Experience: Spatio-Temporal Analysis and Simulation of Visual Input Dynamics Using Deep Learning

Starting date: February/March 2026 Duration: 5–6 months Location: École Centrale de Lyon, 69130 Ecully, France Keywords: developmental cognitive science; computer vision; deep learning; SAYCam dataset. Funding: 650€ / month (net) PhD follow-up: Yes Required Skills • Python, PyTorch • Computer vision (OpenCV, YOLO, DETR) • Data analysis and visualization •…

Lire la suite

[Stage M2] Méthode primale-duale proximale pour l’estimation conjointe de l’objet et de paramètres inconnus en tomographie

Dans le cadre de l’utilisation durable et sûre de l’énergie nucléaire au service de la transition énergétique décarbonée, le réacteur de recherche Jules Horowitz, en cours de construction sur le site du CEA Cadarache, est un outil-clé pour l’étude du comportement des matériaux sous irradiation. Cette ligne d’imagerie présente des…

Lire la suite

[StageM2] Developing Convolutional Neural Networks (CNN) for Robust Radiomic Representations

GENERAL INFORMATION For more information, please contact:bmagnin@chu-clermontferrand.fr (B Magnin) Promotors: Benoît Magnin, radiologist in the University hospital of Clermont FerrandNavid Rabbani, computer science researcher in the DIA2M (AI research group of University hospital of Clermont Ferrand) Daily advisor: Benoît Magnin, Navid Rabbani Number of students: 1 Dates of internship : From 02/02/2026…

Lire la suite

[StageM2] Computational imaging dedicated to tomographic diffractive microscopy using deep learning techniques

Host laboratory: Laboratoire Hubert Curien (LaHC), 18 Rue Pr B. Lauras, 42000 SAINT-ÉTIENNE. Supervisor: Fabien Momey Casella (fabien.momey@univ-st-etienne.fr). Keywords: 3D (tomographic) image reconstruction, deep learning, equivariant imaging, numerical simulation, scientific programming with Matlab® and PyTorch, tomographic diffractive microscopy, biomedical applications. Duration: 6 months. Starting date: february/march 2026. Salary: ~ 600…

Lire la suite