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institutions and expertise in secure distributed systems will be highly valued, enabling the candidate to bring transferable knowledge to address the security challenges in emerging blockchain ecosystems and
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reinforcement learning using degraded human feedbacks. Develop distributed localization approaches for multi-agent systems. Investigate the suitability of various sensors for robot navigation in human-sense
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scalable system frameworks capable of real-time data processing, distributed decision-making, and seamless integration with operational infrastructures. Design and deploy robust, secure interfaces
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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing
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is expected to travel overseas to collaborate with scientific teams at CEA, France. Key Responsibilities: Investigate boundary plasma turbulence in double-null configurations Assess the impact of
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Fellow in Autonomous Systems and Control to design and implement efficient, performance‑guaranteed distributed control approaches, leveraging cutting‑edge learning algorithms and AI strategies