Postdoctoral Researcher in Reinforcement Learning and Bandits under Constraints

Research ContextThe selected candidate will be part of the research team at INRIA, working under the supervision of Debabrota. The objective of this postdoctoral position is to investigate the impact of different types of constraints and structures on the performance and design of bandit and reinforcement learning algorithms. This research aims to simulate...

Context and Benefits of the PositionThe postdoctoral researcher will be part of the INRIA team and will work under the supervision of Debabrota. The researcher will investigate the impact of different types of constraints and structures on the performance and design of bandit and RL algorithms.The project aims to simulate existing and new collaborations with...

Job Context and RequirementsWe are seeking a highly motivated PhD candidate to join our team at INRIA and work on a project focused on robust reinforcement learning and privacy in sequential decision making. The candidate will be supported by the PEPR project FOUNDRY and supervised by Debabrota and Emilie.As RL algorithms are being deployed in real-life...

Context and Key Features of the PositionThe selected candidate will be supported by the PEPR project FOUNDRY and supervised by Debabrota and Emilie, affiliated with the INRIA.As RL algorithms are increasingly deployed in real-life scenarios, questions arise regarding responsible deployment, such as robustness to noise and perturbations in the feedback from...

Context and OpportunitiesThe successful candidate will be part of a dynamic research team at INRIA, working on the intersection of machine learning and medicine.Mission and ObjectivesThe postdoctoral researcher will collaborate closely with both the Scool and Inserm teams to explore the application of contextual bandit problems to personalized patient...

Job ContextThe INRIA team is seeking a postdoctoral researcher to contribute to the development of privacy-preserving federated learning algorithms and their applications in medical domains.The successful candidate will work closely with the MAGNET team and European project partners to advance the field of privacy-preserving machine learning.Research...

Research Opportunity We are seeking a highly motivated postdoctoral researcher to join the MAGNET team at INRIA. The successful candidate will contribute to the development of privacy-preserving federated learning algorithms for medical applications.Context and ObjectivesThis postdoctoral position will be supported by the project, which aims to research and...

Context and Advantages of the PositionThe selected candidate will work in close collaboration with both the Scool and Inserm teams at INRIA.The main objective is to explore the application of bandit theory to personalized patient follow-up, proposing algorithms and studying their theoretical properties in collaboration with the Scool team.With the Inserm...

Job Context and RequirementsThis postdoctoral position will be supported by the project and will be part of the MAGNET team in Lille, collaborating with several European project partners.With the increasing concern about potential risks and abuses of AI techniques, there is a growing interest in research directions such as privacy-preserving machine...

Context and advantages of the positionThe successful candidate will be supported by the PEPR project FOUNDRY and supervised by Debabrota and Emilie, affiliated with the INRIA. The project aims to study the impact of privacy in contextual bandits and MDPs, and to design optimal, computationally efficient algorithms.Main activitiesThe candidate will be...

Context and Advantages of the PositionThis postdoctoral position will be supported by the project, allowing for collaboration with several European project partners. The MAGNET team, involved in the TRUMPET, FLUTE, and REDEEM projects, seeks team members who can contribute to these projects in close collaboration with other team members and national &...

Context and Advantages of the PositionThe selected candidate will work in close collaboration with both the Scool and Inserm teams at INRIA.The mission consists of exploring how the problem at hand can be modeled, likely as a contextual bandit problem, proposing algorithms, and studying their theoretical properties in collaboration with Scool.With the Inserm...

About the PositionThe Inria University of Lille centre, one of the main research and innovation hubs in the region, is seeking a postdoctoral researcher to work on a challenging project in the field of ecological and economic logistics service network design. This project aims to develop innovative solutions for the optimization of logistics networks, with a...

About the PositionWe are seeking a highly motivated Postdoctoral Researcher to join our team at Institut Mines-Télécom in the field of hybrid beamforming for 5G networks.About the ProjectThe successful candidate will work on investigating the state-of-the-art hybrid beamforming schemes for sub-THz communication. The project aims to design...

Job Context and RequirementsThis PhD position is part of a project that aims to develop privacy-preserving federated learning algorithms. The successful candidate will work in the MAGNET team at INRIA, collaborating with European project partners.With the increasing use of AI, there is a growing concern about potential risks and abuses. Research directions...

Research Opportunity in Privacy-Preserving Federated LearningThis PhD student position will be supported by the project, allowing for close collaboration with national and international partners. The successful candidate will contribute to research and prototyping algorithms for secure, privacy-preserving federated learning in settings with potentially...

Researcher Position - Federated Learning in Oncology This researcher position will be supported by the project, with collaboration between the MAGNET team in Lille and European project partners. Research on privacy-preserving machine learning is gaining importance due to concerns about potential risks and abuses. Techniques such as differential privacy and...

Research Position in Secure Machine LearningThis PhD student position is part of the MAGNET team at INRIA, focusing on research and development of privacy-preserving federated learning algorithms. The recruited PhD student will collaborate with colleagues in the MAGNET team and the project consortia to contribute to the TRUMPET, FLUTE, and REDEEM...

Research Context and ObjectivesThis PhD position is part of a project that aims to develop privacy-preserving federated learning algorithms for applications in oncology. The successful candidate will contribute to the research and development of these algorithms in collaboration with the MAGNET team and project partners.Key ResponsibilitiesContribute to the...

Job Opportunity: Scientific Programmer in Federated Learning for Oncology ApplicationsThis position is part of the MAGNET team at INRIA, collaborating with European project partners. The team is involved in research projects such as TRUMPET, FLUTE, and REDEEM, focusing on privacy-preserving federated learning in settings with potentially malicious...