190 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" positions at NEW YORK UNIVERSITY ABU DHABI
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lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied agents that interact naturally and safely with humans and their surroundings. The lab
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. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html
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scientific capacity in the region. The candidate will also lead NYUAD’s annual Southeast Asia Learning Exchange, an immersive week long program that brings regional researchers to Abu Dhabi for advanced
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inviting distinguished leaders or speakers, arranging their visits, and planning engaging leadership activities to enhance the learning experience for the scholars during experiential learning weekends or as
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Science, or Information Science, or a bachelor’s degree with several years of experience and expertise in their field. The position requires experience with at least one of the following: Data Science, Machine Learning
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creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employee UAE Nationals are encouraged to apply. Where to apply Website https://www.timeshighereducation.com
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, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply. Where to apply Website https
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accomplishments and interests, and at least 2 references, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how
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at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email: nhh2@nyu.edu . About NYUAD: NYU Abu Dhabi is a
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis