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-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory
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monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical
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newly established fluid dynamics laboratory at NYU Abu Dhabi, candidates are expected to have a strong interest in experimental research and collaborate with applied mathematicians closely. PhD holders
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. K.J.Kyriakopoulos in close collaboration with other researchers, PhD students, and undergraduate research assistants. The Post-Doctoral associate will engage with our regular collaborators at local institutions in
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. Moreover, the post-doctoral associate will have access to the well-equipped core research facilities of NYUAD. Applicants must hold a PhD or equivalent degree in solid-state chemistry, physics, electrical
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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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, 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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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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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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workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer Science or related field. Experience in one or more ML domains, such as deep learning, reinforcement