RF-SCOPE: Caractérisation et outils de simulation optimisé pour les détecteurs RF // RF-SCOPE: RF-Sensors Characterization and Optimized Prediction Engine
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ABG-138350
ADUM-73591 |
Thesis topic | |
| 2026-04-14 |
Université Grenoble Alpes
GRENOBLE CEDEX - Auvergne-Rhône-Alpes - France
RF-SCOPE: Caractérisation et outils de simulation optimisé pour les détecteurs RF // RF-SCOPE: RF-Sensors Characterization and Optimized Prediction Engine
- Computer science
détecteur RF, solver EM, Monte-Carlo, HEMT, Schottky
RF detector, EM solver, Monte-Carlo, HEMT, Schottky
RF detector, EM solver, Monte-Carlo, HEMT, Schottky
Topic description
Cette recherche doctorale porte sur la modélisation multiphysique et l'optimisation des composants à semi-conducteurs III-V (GaN, GaAs) pour les réseaux 5G et futurs 6G. Afin d'atteindre une efficacité élevée (100 Gbits/J) et des fréquences de l'ordre des THz. Le projet se base sur un solveur Monte Carlo pour simuler des effets nanométriques tels que le transport balistique, la formation du 2DEG ou encore l'auto-échauffement (points chauds). Les objectifs du travail de recherche doctoral sont : l'optimisation des performances du solveur via Python/C++/Fortran, l'intégration des parasites électromagnétiques (HFSS/Q2D) aux simulateur, le développement d'un banc de test expérimental jusqu'à 110 GHz pour valider le flux de simulation et la conception de détecteurs RF innovants.
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This doctoral research focuses on the multi-physics modeling and optimization of III-V semiconductor components (GaN, GaAs) for 5G and future 6G networks. To achieve high energy efficiency (100 Gbits/J) and THz frequencies, the project utilizes a Monte Carlo solver to simulate nanometric effects such as ballistic transport, 2DEG formation, and self-heating (hot spots). The objectives of this doctoral work are: optimizing solver performance via Python/C++/Fortran, integrating electromagnetic parasitics (from HFSS/Q2D) into the simulator, developing an experimental testbed up to 110 GHz to validate the simulation workflow and designing innovative RF detectors.
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Début de la thèse : 01/10/2026
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This doctoral research focuses on the multi-physics modeling and optimization of III-V semiconductor components (GaN, GaAs) for 5G and future 6G networks. To achieve high energy efficiency (100 Gbits/J) and THz frequencies, the project utilizes a Monte Carlo solver to simulate nanometric effects such as ballistic transport, 2DEG formation, and self-heating (hot spots). The objectives of this doctoral work are: optimizing solver performance via Python/C++/Fortran, integrating electromagnetic parasitics (from HFSS/Q2D) into the simulator, developing an experimental testbed up to 110 GHz to validate the simulation workflow and designing innovative RF detectors.
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Début de la thèse : 01/10/2026
Funding category
Funding further details
Programmes gouvernementaux hors France et Union Européenne
Presentation of host institution and host laboratory
Université Grenoble Alpes
Institution awarding doctoral degree
Université Grenoble Alpes
Graduate school
220 EEATS - Electronique, Electrotechnique, Automatique, Traitement du Signal
Candidate's profile
The candidate profile required for the project is a young professional holding a master's degree in Electrical or Electronics Engineering, interested in the scientific field of microwaves technologies. He/She must be motivated, passionate about research in a multidisciplinary field and an organized person using scientific methods. He/She must justify good academic tracks in maths and applied physics; an experience in programming; linguistic competence in English (C1 written and spoken).
The candidate profile required for the project is a young professional holding a master's degree in Electrical or Electronics Engineering, interested in the scientific field of microwaves technologies. He/She must be motivated, passionate about research in a multidisciplinary field and an organized person using scientific methods. He/She must justify good academic tracks in maths and applied physics; an experience in programming; linguistic competence in English (C1 written and spoken).
The candidate profile required for the project is a young professional holding a master's degree in Electrical or Electronics Engineering, interested in the scientific field of microwaves technologies. He/She must be motivated, passionate about research in a multidisciplinary field and an organized person using scientific methods. He/She must justify good academic tracks in maths and applied physics; an experience in programming; linguistic competence in English (C1 written and spoken).
2026-08-31
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