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fabricated; 3) Geographical Information Systems in mapping these data and analyzing spatial patterns. An experience of working in/administering a museum is a plus. The successful candidate will engage in
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crystals using either electron or X-ray diffraction techniques. While candidates with experience in structure analysis based on powder diffraction, neutron diffraction, or scattering data will also be
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decision process for innovation, collecting neurophysiological and other relevant data, programming and analysis routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD
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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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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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interest may be considered, a priority will be given to those able to relate to one or several of the above topics. For more information on the research directions, applicants are encouraged to check
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
). Probabilistic and reliability-based analysis applied to underground structures. Advanced subsurface characterization techniques integrating geotechnical and geophysical data. Geohazard mapping and modeling
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machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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assistance for your dependents attending school in the UAE; and access to health and wellness services. Click here for more information on benefits for you and your family. About NYU Abu Dhabi NYU Abu Dhabi
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infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation