AI Researcher for Federated Learning Development
il y a 9 heures
We are seeking a highly skilled AI researcher to join our team at INRIA and contribute to the development of federated learning algorithms. This PhD position is part of the Nokia-Inria Federated Learning Challenge, a collaborative project between INRIA and Nokia Bell Labs.
Federated learning systems enable model estimation without providing sensitive client data to the server, reducing communication requirements and ensuring increased privacy. Our research focuses on developing decentralized learning architectures and algorithms for future wireless communication systems.
As an AI researcher in this role, you will investigate the impact of realistic wireless communication links on state-of-the-art federated learning methods. You will also develop new resource allocation, compression, and coding schemes to optimize tradeoffs between communication reliability and federated learning update compression.
Main activities include analyzing convergence of state-of-the-art federated learning methods and developing novel schemes to mitigate errors arising from wireless communications. You will collaborate with experts in the field and participate in international conferences and seminars.
The ideal candidate has a background in optimization theory, probability theory/statistics, and wireless communications. Proficiency in Python and experience with machine learning packages are also essential. A high level of spoken and written English is required.
This PhD position offers a competitive salary, including:
- Gross monthly salary: €21,900 (1st year), €22,900 (2nd year), and €23,400 (3rd year)
Additionally, you can enjoy subsidized meals, partial reimbursement of public transport costs, and flexible working hours. Our organization provides professional equipment, access to vocational training, and complementary health insurance under certain conditions.
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinAbout 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...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinAbout 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...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinAbout 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...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinAbout 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...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob 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...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob 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...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinAbout 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...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinAbout 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...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob 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...
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Villeurbanne, Auvergne-Rhône-Alpes, France INRIA Temps pleinJob 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...
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