AI-driven methods for climate and infrastructure risk mitigation NYU Tandon School of Engineering in United States

The Climate, Energy, and Risk Analytics (CERA) Lab at NYU Tandon School of Engineering, led by Assistant Professor Yuki Miura, is recruiting fully-funded PhD students for Spring or Fall 2026. The lab focuses on developing AI-driven methods to understand, quantify, and mitigate climate and infrastructure risks, bridging physics, data science, and policy for real-world impact in collaboration with city stakeholders. Research areas include large language models (LLMs) for risk perception and financial signals, vision-language models (VLMs) for global exposure mapping, cascading impact and network modeling, and reinforcement learning for adaptation planning.

Candidates should have strong quantitative skills and backgrounds in engineering, risk analysis, or data science. Successful applicants will receive full funding, including tuition, stipend, and health insurance. The application deadline is November 30, 2025. Interested candidates should review the provided PDF for detailed instructions and submit their applications before the deadline.

The opportunity is ideal for students passionate about data-driven climate risk research and interdisciplinary collaboration.