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Postdoctoral Associate in the Division of Engineering (Civil and Urban Engineering) Dr. Tarek Abdoun
successful applicant must have a PhD in Geotechnical Engineering, or a related field with a focus on one or more of the following: Artificial intelligence applications in geotechnical engineering
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must have a PhD in Robotics, Control Theory, Mechanical or Electrical Engineering, Applied Mathematics, or a closely related field, with a strong focus on robot control, machine learning, and
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, Energy, and Sustainability (SHORES) seeks to recruit a Postdoctoral Associate to work on a broader field of geotechnical engineering. Required Qualifications: A successful applicant must have a PhD in
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for Ordinary Portland Cement (OPC) without supplementary binders. The successful applicant will contribute to a multidisciplinary research environment, collaborating with PhD-level scientists, and
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and data science, the impact of cybersecurity on transportation systems, and more. Applicants must have received a PhD in engineering, computer science, urban science, or a related field. Experience in
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interest, and potentially renewable depending on performance; funding is available for up to 5 years). The candidate must hold a PhD in marine biology, ecology or related (must be completed by May 2025
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candidates will work in a multidisciplinary Center environment with world-class research infrastructure, consisting of PhD-level scientists, graduate students and undergraduate students. The terms
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, cardiovascular, and neurologic diseases. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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Description We are inviting applications for a Post-Doctoral Associate in the Economics group of the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD
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apply. A PhD dissertation or research papers that demonstrate a strong interest and research focus in any of risk analysis or minimization, robust optimization, deep learning for systems, probabilistic