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Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv
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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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collaborations. Applicants must hold a Ph.D. in science, engineering, or a closely related field awarded before the start date, and is within the first five years post-receiving a PhD. Competitive candidates will
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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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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and
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haptic actuators and experiences. Note that the research involves significant interactions with collaborators in material science. The developed technologies will be utilized to develop digital twin and
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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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trustworthy digital ecosystems throughout the lifecycle of the built environment. The successful candidate will join a dynamic and interdisciplinary research environment and collaborate with faculty and
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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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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