Enseignement Le candidat devra posséder une expérience en robotique industrielle, de service, open-source et/ou embarquée que ce soit en termes de modélisation, simulation, dimensionnement, commande, intégration ou programmation. Dans ces domaines, il devra s’investir pour le développement d’enseignements et de formations axées thématiquement sur l’industrie du futur en vue d’accroître…
The main goal of this PhD is to explore the potential of machine learning (ML) tools for simultaneous localization and mapping (SLAM) applications, while leveraging multipath radio signals between cooperative wireless devices. The idea is to identify characteristic features of the propagation channels observed over multiple radio links, so as…
IA générative pour aider à la classification automatique des stades de développement du Plasmodium falciparum dans des images de frottis sanguins /!\ À noter que ce sujet de stage s’adresse préférentiellement à des étudiants de M2 mais, en fonction de leur profil et de leur expérience, des étudiants de M1 pourraient…
1 Information about the post-doctoral position Status: R&D employee of the startup company IZONICS,Duration: 12 months, with perspective enrolment as permanent staff (CDI). Scientific and technical supervision: Prof. Eva Dokladalova, Université Gustave Eiffel, ESIEE Paris, LIGM Lab.Prof. Tarik Bourouina, Université Gustave Eiffel, ESIEE Paris, ESYCOM Lab. and Co-founder of IZONICSOther…
Context Prematurity, defined as birth before 37 weeks of gestation, affects 6% of live births in France and 10% worldwide and represents a major risk factor for neurodevelopmental complications, such as cerebral palsy, cognitive delay, language disorders, and behavioral disorders (1). Standard clinical and radiological neurological evaluations of preterm children…
Titre IA contrainte par la physique pour la modélisation en sciences naturelles Niveau Master 2/Bac+5 Date de début 4 à 6 mois, démarrage autour de février/mars 2024 Ville, Pays Annecy, France Laboratoire Laboratoire d’Informatique, Systèmes, Traitement de l’Information et de la Connaissance – LISTIC Description du sujet : En sciences…
Artificial Neural Networks (ANNs) have gathered exponential attention across diverse domains in recent years [1]. However, ANN training suffers from high and inefficient energy consumption on modern computers based on the von Neumann architecture [2]. Spiking Neural Networks (SNNs) [3], when implemented on neuromorphic hardware [4, 5], have emerged as…
Main contacts: marius.bilasco@univ-lille.fr, pierre.tirilly@univ-lille.fr An unsupervised spiking-based counting solution has been deployed by the FOX team at Lilliad’s Xperium. The prototype was build using ad-hoc spiking models that do not reflect the requirements of an efficient hardware implementation. In order to reach efficient hardware implementation, the neuron models and the…
The FOX team of the CRIStAL laboratory (UMR CNRS), Lille, France, and the PR team of the MIS Laboratory, Amiens, France, are looking to recruit : * a joint PhD student starting in October 2025 in the field of asynchronous computer vision from event cameras. Abstract: Video analysis is one of the fundamental tasks in computer vision. The dominant approach is based on deep neural networks…
Supervisor 1 Phillipe Roudot (philippe.roudot@univ-amu.fr) Institut Fresnel, ED184 Supervisor 2 Claudio Collinet (Claudio.collinet@univ-amu.fr) IBDM, ED62 Abstract The ability of cells and tissues to change shape during development relies on patterns of force-transmitting molecules at the cell surface, such as adhesion molecules (e.g. E-Cadherin), that anchor and regulate cell contractions. Those…
