103 computer-science-intern-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description As part of the Electrical Engineering program of the Engineering Division and the Center
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Division of Engineering (Civil and Urban Engineering) in New York
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23 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established
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infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear
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Deadline 28 Feb 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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Job related to staff position within a Research Infrastructure? No Offer Description Description The Mathematics Program in the Science Division, New York University Abu Dhabi, seeks to recruit a post
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primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or
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Description We are seeking Post-Doctoral Associates who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the
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17 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application
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process for sustainable transport modes and transport innovations. Research is interdisciplinary involving behavioral economics, psychology, neuroscience, computer science applied to the transport domain