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models and data science ideas. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in transportation, in particular related to urban science
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computational mechanics and structural topology optimization experimental methods and laboratory testing at multiple scales methods Successful candidates must hold a PhD degree in Civil/Structural Engineering, or
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development, sex determination, fruit development and tissue culture. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students
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a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students. Applicants must have a BSc in Biology or related field. General lab experiences are a
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into the Center’s Principal Investigator. Applicants must have a Ph.D. with a primary focus on the art and culture of the Arab world. The PhD will ideally be in Art History but may also be in another field with a
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of this research project is advanced optoelectronics materials for sensing applications. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students, and
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research facilities of NYUAD. Applicants must hold a PhD or equivalent degree in either science (Chemistry, Physics) or Engineering, with prior experience and strong publication record in device fabrication
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. The focus of this research project is related to advanced optoelectronics materials for sensing applications. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists
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Monitoring for Civil Infrastructure and Urban Systems) - Dr. Mohamed Moustafa Description The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH) in the Division
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval