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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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in the fluid mechanics laboratory for experimental fluid dynamics. SITE is inviting applications for fully-funded postdoctoral research associate positions. SITE is highly interdisciplinary and aims
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-Doctoral Associate to work on a fascinating project focused on the geomechanical modeling for energy applications. The position will be directly supervised by Professor Mostafa Mobasher and will involve
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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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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
Description The Research Center SHORES seeks to recruit a Postdoctoral Associate to work in the field of geotechnical engineering. Required Qualifications: The ideal candidate will hold 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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depend on the qualifications of the candidate selected. The position is for the duration of 2 years starting on January 1, 2025, and it can be renewed based on performance and availability of funds
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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