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Thèse : Méthodologie de conception et d’optimisation d’antennes directives pour minimiser l’impact dosimétrique dans la bande FR3

Mots-clés : Simulation électromagnétique, méthode TLM (Transmission Line Matrix), Antennes, DAS, densité de puissance, dosimétrie, modèles numériques humains.Ecole doctorale : ED-STICDirecteur de Thèse : Jean-Lou DUBARDCo-encadrant : Marylène CUEILLE (LEAT), Abdelrahman IJJEH (LEAT)Lieu du stage : LEAT, Campus SophiaTech, Bâtiment Forum930 Route des Colles, 06903 Sophia AntipolisDébut : Octobre 2026Thématique(s) : CMAContacts : jean-lou.dubard@univ-cotedazur.fr, marylene.cueille@univ-cotedazur.fr, abdelrahman.ijjeh@univ-cotedazur.fr Sujet, Contexte Une nouvelle bande de fréquence […]

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PhD: Design of Reconfigurable Multi-Beam Radiating Surfaces for FR3-Band Mobile Terminals (7.2-8.4 GHz)

Expected starting date: October 1st, 2026Duration: 3 yearsFunding: PEPR 5G France 2030 – EXCELL-FR3 projectPlace: LEAT, Bât. Forum, Campus Sophia Tech, 930 route des colles, 06903 Sophia Antipolis, FranceKeywords: 5G, 6G, antennas, FR3 band, multi-beam beamforming, mobile terminal, MIMO, reconfigurableradiating surfaces, Cell-Free networks Context The EXCELL-FR3 project is part of the “PEPR 5G et Réseaux […]

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Associate Professor positions at the LEAT (starts in October 2026)

The LEAT has two Associate Professor positions available for the 2026-2027 academic year: The application schedule is available at the following link: https://univ-cotedazur.fr/universite/travailler-a-universite-cote-d-azur/concours/enseignants-chercheurs Postes de Maître ou Maîtresse de Conférences ouverts au concours pour la rentrée 2026-2027 Le LEAT bénéficie de deux supports de Maître ou Maîtresse de Conférences pour la rentrée universitaire 2026-2027 :  Le […]

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PhD: Design of FR3 backhaul antenna for Ka band

Thèse: Conception de liaison point à point à faisceau reconfigurable en bande Ka Description de l’employeur Université Côte d’Azur (UCA) est un établissement public expérimental au sens de l’ordonnance du 12 décembre 2018 dont les statuts ont été publiés le 27 juillet 2019. Cette nouvelle université à statut dérogatoire issue de la fusion de l’Université […]

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PhD: Design and Characterisation of RIS-type reflect arrays for FR2 and FR3 6G

Thèse: Conception et Caractérisation de réseaux réflecteurs de type RIS en 6G FR2 et FR3 Description de l’employeur Université Côte d’Azur (UCA) est un établissement public expérimental au sens de l’ordonnance du 12 décembre 2018 dont les statuts ont été publiés le 27 juillet 2019. Cette nouvelle université à statut dérogatoire issue de la fusion […]

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PhD Thesis: Industrial blockchain for a decentralized bidirectional VPN

Introduction Working and communicating from anywhere, at any time, from any computer equipment, has rapidly become a universal and popular use for all: companies (of all sizes), individuals, employees… these new users require securing, controlling and protecting remote exchanges and digital access, while at the same time protecting the internal resources of a company or […]

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Internship: Development of a prototype for embedded object detection with bio-inspired retinas on robotic platforms

Research Internship ProjectDevelopment of a prototype for embedded object detection with bio-inspired retinas on roboticplatforms Context The LEAT lab is leader of the national ANR project DeepSee in collaboration with Renault, Propheseeand 2 other labs in neuroscience (CERCO) and computer science (I3S). This project aims at exploring abio-inspired approach to develop energy-efficient solutions for image […]

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Internship: Unsupervised learning of robotic multimodal data

Research Internship ProjectUnsupervised learning of robotic multimodal data Context LEAT lab has been working for several years on the design of bio-inspired neural models. One ofthem is inspired by the self-organization of the biological brain. This model named ReSOM has beenpreviously applied to the classification of multimodal data such as the representation of digits fromvisual, […]

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Internship: Security of IoT transmissions to blockchains

François VerdierLaboratoire LEAT, francois.verdier@univ-cotedazur.fr Introduction In the field of intelligent objects, which are capable of retrieving a whole category ofinformation (such as the temperature of an aqueous solution, the pressure in oil pipes,identification badge numbers, reaction control in a nuclear power plant, etc.) andtransmitting it to a dedicated database via a wireless channel, we are […]

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Internship: Training of embedded neural networks for bird song detection

Research Internship ProjectEZBird – Training of embedded neural networks for bird song detection ContextThis internship subject takes place in the eBRAIN group of LEAT laboratory that works on EmbeddedBio-inspiRed Artificial Intelligence and Neuromorphic architectures.More specifically, it takes part a collaboration with CERN in Geneva in order to design, develop anddeploy a wireless sensor network to […]

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