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focused on biodiversity, societal transformation and just environmental futures. You will contribute to mixed method research that maps public perceptions, emotional and structural barriers to environmental
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on an innovation research project where you will be part of the research team to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user concerns and identified driving
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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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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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of the following areas: robotics, machine learning, robot perception, underwater systems, nonlinear control, system modelling, or autonomous manipulation Strong programming skills and a solid
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to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user concerns and identified driving scenarios to generate new and relevant driving scenes for enhancing
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resulting agricultural greenhouse gas emission trajectories, shaped by producer behaviour; 3) Engage with modelling community and livestock producers aimed at improving the representation of livestock systems
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mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles Conduct computer programming to verify the efficiency of the designed solution
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Science and the Cognition and Perception Program of the Department of Psychology at New York University have a one-year postdoc position available, supported by our Visual Neuroscience Training Program. It
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, remote sensing and photointerpretation, field data collection with mobile devices, AI-based image and text analysis). 2. Collection, organization, and spatialization of data on human perceptions and