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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Postdoc Position in Neuro-morphic Reinforcement Learning
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Postdoctoral Research Associate, Adaptive Learning Agents and Computational Cognitive Science Posting Number req27365 Department Psychology Department Website Link https://psychology.arizona.edu/ Location
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field of quantized reinforcement learning to be filled earliest by 1 November 2026 for a period of two years. About the Project: The project focuses on the theoretical grounding and algorithmic
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 27 days ago
, Natural Language Processing, Neuroinformatics, Optimization, Physical AI, Probabilistic Models, Reinforcement Learning, Robotics, Security and Privacy, Smart Materials, Social Questions, Soft Robotics
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, we are looking for an individual with a strong interest and the skills needed to build AI agents based on reinforcement learning with open-source LLMs or VLMs. Required skills include extensive
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models of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties
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following: life cycle assessment, life-cycle cost analysis, pavement simulation, machine learning, deep reinforcement learning, and/or physics-informed modeling frameworks; and demonstrated ability to
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coordinating fleets of EVs during large-scale emergency evacuations under energy and infrastructure constraints. To address this challenge, the research will leverage reinforcement learning, deep learning
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. • Develop and evaluate artificial intelligence and reinforcement learning approaches for image-guided vascular navigation. • Design experiments, validation strategies, and quantitative performance
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. • Develop and evaluate artificial intelligence and reinforcement learning approaches for image-guided vascular navigation. • Design experiments, validation strategies, and quantitative performance