PhD @ NYU – AI for Climate Risk & Resilience
Yuki Miura
Dear all,
The Climate, Energy, and Risk Analytics (CERA) Lab at NYU is seeking a fully funded PhD student, starting Spring or Fall 2026.
Our lab develops AI- and data-driven methods to understand and manage climate risks, working closely with NYC agencies and global partners to build resilient communities.
Research Areas of Interest:
- LLMs for Sentiment & Risk Analysis – analyzing policy, finance, and public perception signals
- VLMs for Global Exposure Datasets – creating building-level exposure datasets from satellite & multimodal data
- Unbiased Climate Risk Modeling – tackling data bias in future hazards like flooding & their impact modeling
- Cascading Impact Modeling – network/GNN-based modeling of interdependent infrastructure failures
- Reinforcement Learning for Adaptation – optimizing resource allocation for hazard protection
What we are looking for: We welcome applicants with backgrounds in machine learning, data science, fluid dynamics, optimization, risk modeling, or climate sciences. Strong programming skills (e.g., Python) and interest in AI for real-world resilience are highly valued.
Beyond NYU Engineering, our lab collaborates with public agencies, finance, and industry, offering unique opportunities for research with tangible impact.
Interested candidates can apply here: https://forms.gle/fosWDxiuBbGy1GPr5
Applications are reviewed on a rolling basis. Please share this opportunity widely!