Jobs:Job-01900
Start reviewing process: 12 October 2025
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Posting:
Position: PhD student
Start reviewing process: 12 October 2025
Apply online:
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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!
Yuki Miura, PhD
Assistant Professor; New York University
Climate, Energy, and Risk Analytics Lab
NYU Tandon Department of Mechanical and Aerospace Engineering
NYU Tandon Center for Urban Science and Progress
NYU Stern Volatility and Risk Institute (faculty advisory board)
