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learning, Computer vision, and Autonomous Robots is desired. The successful applicant will work on various projects on robotics and computer vision, controls, and machine learning and their security
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://sandrasiby.github.io/ . The lab website can be found at https://sites.google.com/nyu.edu/haven-lab The successful candidate will engage in research that includes applied machine learning, systems building, and Internet
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contacted during the selection process. The research statement should outline specific projects that the candidate would like to lead within CITIES, along with potential collaborators within the Center
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will also require the ability to collaborate with other researchers on other center themes, such as Fairness and Uncertainty, and contribute to a comprehensive understanding of urban systems
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graduate and undergraduate researchers, and contribute to grant writing and interdisciplinary collaborations. Applicants must hold a Ph.D. in science, engineering, or a closely related field awarded before
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an exciting multidisciplinary research program investigating the environmental and ecological drivers of productive fishing grounds in the United Arab Emirates. Working in collaboration with Emirates
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for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized
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drivers of productive fishing grounds in the United Arab Emirates. Working in collaboration with Emirates Nature–WWF and government partners, the successful candidate will lead the spatial ecology, habitat
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collaboratively with faculty, postdoctoral researchers, students, and other members of a multidisciplinary research team. Required Qualifications: Applicants must hold a PhD in Geotechnical Engineering or a closely
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. The candidate should have excellent written and oral communication skills, strong organizational ability, and the capacity to work effectively in a collaborative academic research environment. Experience