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Berkeley Lab’s Energy Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help transform how critical materials are produced. In this role, you’ll bring together
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to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Implement a parallelized agent-driven framework where
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project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g
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fellow to perform research on agentic AI, foundational modeling, optimization, and control of multiagent autonomous systems with an application in renewable energy and power grids, in addition to working
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neural networks (including operator learning and surrogates), applications to Maxwell’s equations, fluid dynamics, multiphysics systems, quantum and control problems, and autonomous systems. Candidates
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English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow at
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microscopy systems that integrate machine learning, robotic control, and real-time data analysis to achieve autonomous imaging and interpretation of complex materials systems. The Fellow will design and
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for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments
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associations and conferences. Technical competencies Knowledge relevant to the field of research Research/publication record Ability to conduct research autonomously Breadth of exposure coming from past and/or
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coordinated control of onboard power systems. Develop EMS strategies for power sharing, battery management, and voltage regulation. Deploy models on real-time HIL platforms (e.g., Typhoon HIL, OPAL-RT