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perception models used in robotic safety loops. Research on runtime assurance, uncertainty monitoring, and evaluation metrics for safe human-aware robot operation. A combination of education and relevant
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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. Long-horizon and safety-aware planning under uncertainty. Function 2 2. Learning-Based Perception and Control Multi-modal and foundation-model-based approaches for robotics, including: Multi-modal
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods
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expertise and a broader interdisciplinary network. This position builds on our recent work demonstrating that large language models (LLMs) can meaningfully influence human beliefs — including shifting
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of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis