PhD Position in Uncoordinated Multi-User Wireless Communications

Job DescriptionInria, the French national research institute for digital science and technology, is seeking a talented PhD student to join its team in the field of uncoordinated multi-user wireless communications.Context and BenefitsInria is a world-renowned research institute that supports a diversity of innovation pathways, from fundamental research to the...

Job Context and RequirementsInria, the French national research institute for digital science and technology, is seeking a PhD student to work on the design of waveforms and channel codes for uncoordinated wireless communications. The successful candidate will contribute to the development of new theoretical frameworks and algorithms for wireless systems...

Job ContextINRIA is a French national research institute for digital science and technology. As a technological institute, INRIA supports a diversity of innovation pathways, ranging from fundamental research to the creation of technological startups.Research FocusThe offered position focuses on the design of waveforms and channel codes for uncoordinated...

About the RoleInria is seeking a talented PhD candidate to join its research team in the field of wireless communication systems. The successful candidate will contribute to the design of waveforms and forward-error correction codes for wireless systems with massive-scale over-the-air contention between uncoordinated radio devices.Key ResponsibilitiesDevelop...

About the Centre or DepartmentInria is the French national research institute for digital science and technology. Our Lyon centre is one of the 10 Inria research centres, formally created in January 2022. It brings together approximately 300 people in 16 research teams and research support services.Our staff are distributed at this stage on 2 campuses: in...

About the PositionThis PhD position is part of the Nokia-Inria Federated Learning Challenge, a collaborative project between INRIA and Nokia Bell Labs. The successful candidate will be hosted within the MARACAS team in the CITI Laboratory, a joint research laboratory between INRIA and INSA-Lyon.Research FocusThe focus of this PhD position is on the...

Job DescriptionThis PhD position is part of the Nokia-Inria Federated Learning Challenge project, which aims to develop federated and decentralized learning architectures and algorithms for future generation wireless communication systems.Context and ObjectivesThe PhD student will work on the development of federated learning algorithms for wireless...

About the PositionWe are seeking a highly motivated and talented PhD researcher to join our team at INRIA, working on the development of federated and decentralized learning architectures and algorithms for future generation wireless communication systems.Research FocusThe focus of this PhD position is on the impact of constraints imposed by realistic...

Job DescriptionContext and OpportunitiesThis PhD position is part of the Nokia-Inria Federated Learning Challenge, hosted within the MARACAS team in the CITI Laboratory. The position will be supervised by Dr Malcolm Egan and Prof. Jean-Marie Gorce (MARACAS) and Dr Alberto Conte and Marie-Line Alberia Morel (Networks Systems and Security Research, Nokia Bell...

Job DescriptionWe are seeking a highly motivated and talented PhD researcher to join our team at INRIA, working on federated learning and wireless communication systems for 6G networks.Context and ObjectivesThis PhD position is part of the Nokia-Inria Federated Learning Challenge, and will be hosted within the MARACAS team in the CITI Laboratory. The...

About the ProjectThis PhD position is part of the Nokia-Inria Federated Learning Challenge and will be hosted within the MARACAS team in the CITI Laboratory, a joint laboratory between Inria and INSA-Lyon. The position will be supervised by Dr Malcolm Egan and Prof. Jean-Marie Gorce (MARACAS) and Dr Alberto Conte and Marie-Line Alberia Morel (Networks...

About the Position This PhD position is part of the Nokia-Inria Federated Learning Challenge, hosted within the MARACAS team at CITI Laboratory (a joint venture between Inria and INSA-Lyon). You will be supervised by Dr. Malcolm Egan and Prof. Jean-Marie Gorce (MARACAS), alongside Dr. Alberto Conte and Marie-Line Alberia Morel (Networks Systems and Security...

About the PositionWe are seeking a highly motivated and talented PhD researcher to join our team at INRIA, working on federated learning and wireless communications for 6G systems.Research FocusThe successful candidate will be part of a research project focused on developing federated learning architectures and algorithms for future generation wireless...

About the ProjectThis PhD position is part of the Nokia-Inria Federated Learning Challenge and will be hosted within the MARACAS team in the CITI Laboratory, a joint laboratory between Inria and INSA-Lyon. The position will be supervised by Dr Malcolm Egan and Prof. Jean-Marie Gorce (MARACAS) and Dr Alberto Conte and Marie-Line Alberia Morel (Networks...

Job DescriptionContext and Key FeaturesThe successful candidate will contribute to the development of advanced machine learning approaches for the processing of real-time signals in wireless communications systems. This involves devising innovative theoretical approaches for distributed, real-time dimensionality reduction applied to multi-sensor systems,...

Job Context and RequirementsWe are seeking a highly skilled postdoctoral researcher to contribute to the development of advanced machine learning approaches for processing real-time signals in wireless communications systems.The successful candidate will devise innovative theoretical approaches for distributed, real-time dimensionality reduction applied to...

Job DescriptionContext and Key FeaturesWe are seeking a highly skilled postdoctoral researcher to contribute to the development of advanced machine learning approaches for real-time signal processing in wireless communications systems. The successful candidate will work on the technique of channel charting and devise innovative theoretical approaches for...

Job DescriptionContext and Key FeaturesWe are seeking a highly skilled postdoctoral researcher to contribute to the development of advanced machine learning approaches for real-time signal processing in wireless communications systems. The successful candidate will work on the technique of channel charting and devise innovative theoretical approaches for...

Research OpportunityWe are seeking a highly motivated postdoctoral researcher to contribute to the development of advanced machine learning approaches for wireless communications systems. The successful candidate will work on the technique of channel charting and devise innovative theoretical approaches for distributed, real-time dimensionality reduction...

Job Context and RequirementsThe successful candidate will contribute to the development of advanced machine learning approaches for the processing of real-time signals in wireless communications systems. This involves devising innovative theoretical approaches for distributed, real-time dimensionality reduction applied to multi-sensor systems, prototyping...