Published: 01 Sep 2026 193 views
The Climate, Energy, and Risk Analytics (CERA) Lab at New York University (NYU) is recruiting PhD students to work on cutting-edge research at the intersection of AI, climate risk and infrastructure resilience. Research areas include flooding, wildfires, infrastructure failures, remote sensing, generative AI, machine learning and climate adaptation.
Successful candidates will receive:
We are looking for highly motivated and intellectually curious students who enjoy working on challenging, open-ended research problems at the intersection of engineering, AI, and complex systems. Strong candidates typically demonstrate some combination of:
Relevant backgrounds may include: Mechanical engineering, Computer science, Civil or environmental engineering, Applied mathematics, Applied Physics, Operations research, Data science, Statistics, Computational social science, Related quantitative fields
Preferred technical experience includes one or more of the following: Python programming, Machine learning or AI, Numerical modeling or simulation, Network science or graph methods, Optimization and uncertainty quantification, Remote sensing or geospatial analysis, Scientific computing. Prior publications are encouraged but not required.
Applications are reviewed on a rolling basis. Due to the volume of applications, only shortlisted candidates may be contacted. Early applications are strongly encouraged.
Shortlisted candidates may be invited for interviews and/or technical discussions.
For more information kindly visit the NYU webpage.
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