7 phd-machine-learning positions at NEW YORK UNIVERSITY ABU DHABI in United Arab Emirates
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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, machine learning, artificial intelligence, etc. is a plus. Other preferred qualifications include: expertise in working with metal and composites 3D printers, large-scale/construction-scale commercial
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and his team to research on deep reinforcement learning, with the goal of making fundamental contributions in new algorithms and publishing in top machine learning venues. The team aims to make progress
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undergraduate student research or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as machine learning, artificial intelligence
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expertise in these topics are highly encouraged: Quantum Machine Learning, Machine Learning on Quantum Computers, Quantum Circuits for Machine Learning, Quantum Circuits for Topological Data Analysis, Design
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, retrieval calculations, interior convection, machine learning, or aeronomy. Astrophysical research at NYUAD spans a wide range of topics, including astroparticle studies, stellar and planetary physics
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background in database management, neuroimaging and/or genomics data analytics, and machine learning and artificial intelligence applications. The candidate is expected to have programming experience with