PhD Position F/M in Robust Reinforcement Learning

Context and AdvantagesIn the framework of the PEPR project FOUNDRY, we are seeking a PhD student to work on the topic of robustness and privacy in sequential decision making. The candidate will be supervised by Debabrota and Emilie and will be part of the INRIA team.Research ObjectivesThe project aims to study the impact of privacy on the performance of...

Context and OpportunitiesWe are seeking a highly motivated PhD candidate to join our team at INRIA and contribute to the development of robust reinforcement learning algorithms for privacy and reliability in sequential decision-making. The successful candidate will be supported by the PEPR project FOUNDRY and supervised by Debabrota and Emilie.As RL...

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...

Job Context and RequirementsThe successful candidate will be part of the PEPR project FOUNDRY and supervised by Debabrota and Emilie, affiliated with INRIA. The position is dedicated to completing a Ph.D. thesis within 3 years, with the possibility of teaching up to 30 hours per year.Research ObjectivesThe project focuses on developing robust reinforcement...

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...

Job DescriptionContext and OpportunitiesWe are seeking a highly motivated postdoctoral researcher to join our team at INRIA and work on the theory of reinforcement learning and bandits under structures and constraints. The successful candidate will be part of a dynamic and interdisciplinary research environment, collaborating with researchers from various...

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 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...

Context and Benefits of the PositionThe PhD candidate will be supported by the PEPR project FOUNDRY and supervised by Debabrota and Emilie, affiliated with the INRIA.As RL algorithms are being deployed in real-life, questions arise about responsible deployment, such as robustness to noise and perturbation in the feedback from the environment, and privacy if...

Job DescriptionThe postdoctoral researcher will be part of the team at INRIA and will work on understanding 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 researchers and groups working on responsible AI, bandits, and...

Job DescriptionContext and BenefitsThis PhD student position will be supported by the project, allowing for collaboration with several European project partners. The successful candidate will contribute to the research of the TRUMPET, FLUTE, and REDEEM projects, focusing on secure, privacy-preserving federated learning in settings with potentially malicious...

Context and Advantages of the PositionThe postdoctoral researcher will be part of the INRIA team and will work under the supervision of Debabrota on the project Reinforcement Learning and Bandits under Structures and Constraints.The researcher will investigate the impact of different types of constraints and structures on the performance and design of bandit...

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 DescriptionProject OverviewThe MAGNET team at INRIA is seeking a PhD student to contribute to the development of privacy-preserving federated learning algorithms for applications in oncology. The successful candidate will work closely with the project team and international partners to design and implement secure machine learning models.Research...

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...

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...

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 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...

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...

Job DescriptionAs a PhD student in the MAGNET team at INRIA, you will contribute to the development of privacy-preserving federated learning algorithms for applications in oncology.Research ContextThe increasing use of AI techniques raises concerns about potential risks and abuses. Our team is involved in several European projects, including TRUMPET, FLUTE,...