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AI and robot learning Vision-language-action (VLA) or multimodal AI modeling Perception, control, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical
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systems capable of understanding, learning, and acting in complex, dynamic settings. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation
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environment with strong industrial links and a focus on innovation and sustainability. https://www.tum.de/ Chair of Perception for Intelligent Systems (PercInS) PercInS develops AI-driven perception systems
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of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, additive manufacturing
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federated learning, AI security and privacy, quantum machine learning (QML), robotics, and/or AI-driven discovery in science and engineering (e.g., genomics, bioinformatics, drug discovery, infectious disease
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. The team works at the intersection of computer vision, multimodal learning, and robotics to create next-generation embodied agents that interact naturally and safely with humans and their environments
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equivalent university degree in psychology or a related discipline (computer science, neurosciences, biology, cognitive sciences) • Skills in perception psychology, neurosciences, machine learning, tracking
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researchers within the Neuroscience of Attention Perception Laboratory (NAPL) on non-human primate (NHP) studies investigating neural mechanisms of cognition. The research specialist will work alongside fellow
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. Fabricate parts as required using a variety of equipment and tools such as: milling machine, lathe, drill press, band saw, and other industrial tools. Assist in the set up and operation of pneumatic
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(including ultra-high-field and ultrafast MRI) Computational and network neuroscience Machine learning and biologically inspired AI Vision science and predictive coding Clinical neuroscience and