Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
of substitution models using large dataset, successful applicants must then have a PhD and demonstrated experience in discrete choice models, machine learning techniques, big data, and optimization
-
-Robot Swarms in Unknown Environments. CAIR invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or mechanical engineering, or related field to apply. A strong
-
to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. We are seeking a Post
-
, statistical signal processing, optimization theory, machine learning and artificial intelligence. The candidate is expected to actively participate in experimental work focused on building datasets of channel
-
. The Department of Robotics focus is on rigorous, high-impact, original research emphasizing robot learning, (eg CoRL) and robot algorithms (eg WAFR) rather than development of new robot hardware. Research topics
-
of machine learning, data science, or related fields, particularly those that align with or complement the program’s existing research strengths in: Geometry, Topology and Algebra. Examples of fields
-
Experience in machine-learning modeling for solid mechanics applications Experience in the development and coupling of numerical methods for solid mechanics modeling Post-Doctoral Associate Employment at NYUAD
-
a research context. Proficiency in programming languages relevant to AI and robotics (e.g., Python, LabView, Matlab, C/C++). Demonstrated knowledge in data science and machine learning techniques
-
-related data. The ideal candidate must have a background in database management, neuroimaging and/or genomics data analytics, and machine learning and artificial intelligence applications. The candidate is