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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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Abrahao (NYU Shanghai) and João Sedoc (NYU Stern). Research Focus Areas Our research encompasses topics in DL and AI, including but not limited to: Deep Learning Algorithms and Paradigms Generative Models
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. Job Responsibilities Instructional & Grading Support Grade problem sets (distributed two to three times per semester) and record grades on Brightspace and Gradescope Assist with grading the midterm and
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the racial justice implications of technology, algorithmic decision-making, and surveillance tools in the criminal legal system and other systems that govern people?s lives; challenging the forces that drive
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topics related to development and macroeconomic behavior. Many of these studies involve the collection of data using computational algorithms and analysis of large-scale survey data, which are combined
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basic probability, descriptive and inferential statistics, and the role of biostatistics in the practice of public health. Specific attention will be given to common probability distributions in public
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-seeking algorithms in transportation networks Game-theoretic approaches to cybersecurity and security games Integration of human behavior modeling in smart mobility systems Required Qualifications
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of considerable complexity. Knowledge of client/server environment. Knowledge of database and distribution systems. Ability to coordinate different requirements for multiple School departments. Ability to establish
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in working and communicating effectively with internal and external stakeholders. Manage the collection, review and distribution of grants to facilitate faculty mobility in the global network, as