PhD Position F/M: Robust Reinforcement Learning and Privacy in Sequential Decision Making

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...

Postdoctoral Researcher PositionINRIA is seeking a highly motivated postdoctoral researcher to work on understanding the impact of different types of constraints and structures on the performance and design of bandit and reinforcement learning algorithms.Research ObjectivesThe postdoctoral researcher will investigate the fundamental question of reinforcement...

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 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...

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...

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 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...

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...

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...

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...

About the RoleThis position will be part of the MAGNET team in Lille, collaborating with European project partners. The successful candidate will contribute to researching and prototyping algorithms for secure, privacy-preserving federated learning in settings with potentially malicious participants.Key ResponsibilitiesDeveloping algorithms, such as...

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 Highlights of the PositionThis position will be supported by the INRIA project. As part of the MAGNET team in Lille, the engineer will collaborate with several European project partners.Given the growing concern about potential risks and abuses of AI, there is a significant interest in research directions such as privacy-preserving machine...

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...

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...

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 projects such as TRUMPET, FLUTE, and REDEEM, focusing on privacy-preserving federated learning in settings with potentially malicious participants.Key...

Job Context and RequirementsThis position will be supported by the project and will collaborate with several European project partners. The recruited engineer will contribute to one or more of the TRUMPET, FLUTE, and REDEEM projects, which aim at researching and prototyping algorithms for secure, privacy-preserving federated learning in settings with...

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...

Job Title: Engineer ContractorWe are seeking a highly skilled Engineer Contractor to join our team at Inria, a leading research institute in the field of digital sciences and technologies. The successful candidate will be responsible for consolidating and extending an existing open-source library for decentralized and privacy-preserving machine learning.Key...