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research environment. Outstanding written and verbal communication skills are essential. The terms of employment are very competitive and include housing and educational subsidies for children. Applications
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of computing and healthcare. Methodologies of interest include: Multi-modal learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised
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on the physical layer design of wireless communication systems and explore enabling technologies for 6G and beyond wireless networks. Applicants must hold a PhD degree in electrical/electronics engineering
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, speech, images, and physiological signals. Preferred Experience: The lab highly values candidates with one or more of the following experiences: Human-Centered Applications: Familiarity applying ML in
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: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design Creating and validating digital twin architectures that incorporate physical laws and constraints
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for reproducibility; and Collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Possessing a Doctoral degree from a recognized institution in Electrical, Mechanical, Naval
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) Social Media Analysis (iii) Algorithmic Privacy, (iv) Analysis of Academic Collaborations, (v) Human-Bot interaction, (vi) Network Science. The ideal candidate is self-motivated and hard-working with a PhD
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Prototyping of Novel Proof of Concepts (Extensive on-site lab work). Critical thinking and problem-solving skills. Team player with good communication skills. Proficiency in English. For consideration
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
programming languages and software platforms relevant to Digital Twin development (e.g., Python, MATLAB, Revit, Unity, or IoT frameworks). Excellent written and verbal communication skills in English. The terms
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to recruit a Post-Doctoral Associate (PDA) who will conduct research on the physical layer design of optical wireless communication systems as enablers of wireless access/backhaul of 6G and beyond networks