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on advanced perception and scene understanding for robotic harvesting. The successful candidate will contribute to the development of novel methods for: simultaneous 3D scene reconstruction and plant modelling
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of this role is to deliver 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
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-solving approaches and perceptions of their societal roles and responsibilities, using an appropriate combination of quantitative and qualitative methods. • Develop and test a model and training approach
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, particularly EEG; • Programming experience, particularly in R and Python; • Proficiency in statistical methods commonly used in psychology and neuroscience (ANOVA, linear models, etc.); • Familiarity with
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relevance to society and the built environment sector. Your research will combine co-creation, prototyping, experimental testing and modelling. Together with residents, manufacturers and other stakeholders
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perception, and validate experimental results using real-world data obtained with citizen science. The project will also model the effects of nature on time perception at the landscape scale under different
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Job Title: Chief Editor, Nature Robotics Location: Shanghai, Madrid or Pune -Hybrid Working Model Application Deadline: 1st November 2026 (candidates will be considered as they apply) About Springer
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nature experiences influence human time perception, and validate experimental results using real-world data obtained with citizen science. The project will also model the effects of nature on time
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strengths in the department and the university at large, including the development of cognition, perception, attention, memory, language, decision making, emotion, and/or social functioning. Priority will be
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, School of Kinesiology, College of Architecture & Urban Planning, and School of Art & Design to work on robot learning and foundational models, perception and computer vision, manipulation and grasping, and