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scientific careers, collaboration, inequality, credit, access, and institutional decision-making; Social networks, collective intelligence, group behavior, cooperation, strategic interaction, and human-machine
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computational methods for the control, optimization, and coordination of complex dynamical systems. The work will emphasize applications to multi-agent systems, including robotics, autonomous systems, and
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on the development of socially intelligent machines (computer applications, robots, Virtual Agents) that are capable of interacting and communicating in a natural way with humans, expressing through their figure a
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) of next-generation Edge-AI and Embodied-AI Systems with tiny-LLMs, tiny-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness
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; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized
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-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy
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and AI agents, and finally (c) designing specialized interactive multimodal multi-lingual natural interfaces. Qualifications: A master's degree in less than 5 years of research experince in the relevant
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through the development of benchmark datasets, evaluation frameworks, and specialized LLMs and AI agents, and finally (c) designing specialized interactive multimodal multi-lingual natural interfaces
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Description The Social Machines and Robotics (SMART) Lab at New York University Abu Dhabi focuses on the development of socially intelligent machines (computer applications, robots, Virtual Agents
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, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised learning, and federated learning. The Research Assistant will be primarily based