NYU CERA PhD is a funded doctoral opportunity focused on AI- and physics-based methods to understand, quantify, and manage climate and infrastructure risks. The position supports interdisciplinary research areas including flooding, wildfire, infrastructure interdependencies, remote sensing, generative AI for hazard modeling, and optimization for decision-making.
The program is hosted within NYU Tandon School of Engineering, affiliated with the Department of Mechanical and Aerospace Engineering (MAE) and the Center for Urban Science and Progress (CUSP). The CERA Lab is led by Dr. Yuki Miura and collaborates with academia, government agencies, and industry to build tools for resilient infrastructure and risk-informed decision-making.
NYU CERA PhD Benefits
- Full tuition coverage
- Competitive PhD stipend
- Comprehensive health insurance
- Research and conference support
NYU CERA PhD Eligibility Criteria
- Strong quantitative and analytical skills
- Independent coding and research experience
- Interest in real-world systems and societal impact
- Ability to work across disciplines
- Curiosity, initiative, and resilience in research
- 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
How to Apply for NYU CERA PhD?
- Submit this interest form.
- Apply formally through the NYU Tandon PhD application portal under Mechanical and Aerospace Engineering (MAE).
- Indicate Yuki Miura as your intended advisor.
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Frequently Asked Questions (FAQs)
Here are the most frequently asked questions about the NYU CERA PhD Scholarship 2027. These answers cover eligibility, benefits, deadlines, and how to apply based on the official listing.
What is the NYU CERA PhD position about?
The PhD position at the CERA Lab focuses on developing AI- and physics-based methods to understand, quantify, and manage climate and infrastructure risks under uncertainty. Research areas include flooding, wildfire, infrastructure interdependencies, remote sensing, generative AI for hazard modeling, and optimization for decision-making.
Who is the principal investigator (PI) for this position?
The PI is Dr. Yuki Miura, an Assistant Professor in Mechanical and Aerospace Engineering and the Center for Urban Science and Progress at NYU. Dr. Miura leads the CERA Lab and has research interests in climate risk modeling, infrastructure resilience, AI for hazard analysis, and decision-making under uncertainty.
What funding is provided for successful candidates?
Successful candidates will receive full tuition coverage, a competitive PhD stipend, comprehensive health insurance, and research and conference support as listed in the official funding section of the posting.
What backgrounds are considered relevant for applicants?
Relevant backgrounds may include Mechanical engineering, Computer science, Civil or environmental engineering, Applied mathematics, Applied Physics, Operations research, Data science, Statistics, computational social science, and related quantitative fields, as specified in the candidate profile.
What technical skills are preferred for applicants?
Preferred technical experience includes Python programming, machine learning or AI, numerical modeling or simulation, network science or graph methods, optimization and uncertainty quantification, remote sensing or geospatial analysis, and scientific computing.
When can the position start?
Intended start times listed in the form include Fall 2026, Spring 2027, and Fall 2027. The metadata and description highlight Spring 2027 and Fall 2027 as start dates; applicants should indicate their earliest intended start time on the application.
How are applications reviewed and what is the timeline?
Applications are reviewed on a rolling basis. Due to the volume of applications, only shortlisted candidates may be contacted. Early applications are strongly encouraged, and shortlisted candidates may be invited for interviews or technical discussions.
What materials are required for application submission?
Applicants are asked to provide a shared Google Drive/Dropbox/OneDrive folder link containing: 1) CV, 2) Transcript, 3) Cover letter, and 4) Published paper (optional). The listing requests that link permissions be set so anyone with the link can view.
How do I formally apply to the PhD program?
First, submit the interest form provided in the posting. Then apply formally through the NYU Tandon PhD application portal under Mechanical and Aerospace Engineering (MAE) and indicate Yuki Miura as the intended advisor.
Will prior publications boost my application?
Prior publications are encouraged but not required. The candidate profile notes that strong candidates often show a combination of quantitative skills, coding and research experience, and interest in societal impact; publications may strengthen an application but are not mandatory.
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