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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
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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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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
, Unity, or IoT frameworks). Excellent written and verbal communication skills in English. The terms of employment are competitive and include housing and educational subsidies for children. Applications
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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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, 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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the Job related to staff position within a Research Infrastructure? No Offer Description Description The Division of Engineering and the Center for Interacting Urban Networks (CITIES) at New York
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of existing and emerging networks and communication systems, with a possible starting date in January 2025 (or later). The group’s research builds upon the areas of system, network, information, and computer
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interaction, (vi) Network Science. The ideal candidate is self-motivated and hard-working with a PhD in one of the following: Data Science, Computer Science, Computational Social Science, Information
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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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inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science