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learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems The appointment is for one year, with the possibility
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supervising a team that supports technology services. Required Skills, Knowledge and Abilities: Knowledge of data warehousing technologies and data mining computational methods. Demonstrated ability to work
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offices, and drive qualitative and mixed methods analyses via the design and implementation of surveys, focus groups, and interviews across disciplines. Work closely with colleagues across the College and
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documentation. Facilitating smooth operation of hardware and software on computing systems. Play a central role in support of departmental computing systems; supporting installation, testing, maintenance
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Dhabi Community Programs oversee multiple initiatives, including the Sheikh Mohamed bin Zayed Community Programs, which consist of the Sheikh Mohamed bin Zayed Scholars Program and the NYU Abu Dhabi
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in quantitative modeling, data science, mechanical and urban engineering, or AI/ML methods as exemplified by a strong publication record. Previous experience in Python-based scientific computing
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Junior Research Scientist in the Center for Quantum and Topological Systems (CQTS) – Dr. Hisham Sati
teaching tutorials/recitations as the need arises. Applicants must have a Bachelors in one of the following: Computer Science, Computer/Electrical/Communication Engineering, Mathematics, Physics
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inviting applications for a full-time contract faculty position in the Dvision of Arts and Humanities to teach in the Division and in the Interactive Media program to begin potentially as early as Fall 2026
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strategies. Instruct students in methods of career exploration to enable them to make effective career decisions. - 30% - Enhance and manage overall administration of experiential learning opportunities in
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, but are not limited to, modeling high dimensional interacting systems in dynamic random environments, optimization, game theory and reinforcement learning, statistical methods, network science and data