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distributed decision-making. Applicants must have a PhD in Electrical Engineering, Mechanical Engineering, Computer Engineering, Applied Mathematics, Mathematics, or a closely related discipline, and are within
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a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces
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project of the VUB, introduces a new research framework that treats archaeological prospection as a sequential decision-making process explored through computational simulation and deep multi-objective
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by society and the planet, and we create opportunities for those with the drive, the ambition, and the determination to apply themselves in the pursuit of better. Here’s more about the role and what
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and the planet, and we create opportunities for those with the drive, the ambition, and the determination to apply themselves in the pursuit of better. Here’s more about the role and what we’re looking
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positions. The postdocs will support an exciting new project that is focused on autonomous, soft, tip-extending robots for stroke treatment. The overall goal is to enable fully autonomous navigation
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package contains: We are seeking a highly motivated postdoctoral researcher to work on reinforcement learning methods for public health decision-making in the context of epidemic emergencies, with potential
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Are you a roboticist passionate about making a real-world impact beyond the lab? We are looking for a postdoctoral researcher to join our research group at the Division of Dynamics, Department
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(or equivalent) Hands-on experience with humanoid platforms Knowledge in cognitive robotics and cognitive architectures Other desirable qualifications It is highly meritorious if you have also: publications in
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the capabilities of today's state-of-the-art methods to extracting a richer set of material characteristics from piled materials. The position is associated with the Robot Navigation and Perception Lab (https