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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 21 days ago
for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth
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top-tier venues and will have dedicated time for advancing their own research. The project is in collaboration with CCL (The Center for Connected Learning and Computer-based Modeling, PI Uri Wilensky
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, and human-computer interaction, striving to create technologies that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel
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. In this role, you will collaborate with leading experts in autism research, computer vision, machine learning, psychiatry, and developmental science to develop innovative technologies that improve
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, and synthetic materials, actuated by muscle and powered by chemical energy. Perception and Computer Vision: 3D reconstruction, object recognition, and scene understanding that give robots reliable
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, and human-computer interaction, striving to create technologies that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel
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, and human-computer interaction, striving to create technologies that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel
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and interests. We welcome applicants from psychology, computer science, political science, sociology, economics, human-computer interaction, data science, cognitive science, and related fields. Key
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Discipline Computer Science , Engineering & Technology Job Type Academic Posts , Research Fellowships , Postdocs Apply now Save job Click to add the job to your shortlist Send job Job Details GMSI
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through continuous, multimodal interaction with their environment, and how these representations support robust perception and autonomous decision-making in dynamic, non-stationary settings. The research