NYU CERA PhD Scholarship 2027 in USA | Fully Funded

NYU CERA PhD Scholarship 2027 in USA | Fully Funded

The NYU CERA PhD Scholarship 2027 in the USA is a fully funded doctoral research opportunity at the NYU Tandon School of Engineering for students interested in artificial intelligence, climate risk, infrastructure resilience, data science, engineering, and computational research. The opportunity is associated with the CERA Lab and focuses on developing advanced AI- and physics-based approaches to understand and manage climate and infrastructure risks.

The research is affiliated with the Department of Mechanical and Aerospace Engineering (MAE) and the Center for Urban Science and Progress (CUSP) at New York University. The CERA Lab is led by Dr. Yuki Miura, whose research focuses on climate risk modeling, infrastructure resilience, AI-based hazard analysis, and decision-making under uncertainty.

The position is particularly suitable for candidates with strong quantitative abilities, programming experience, research interests, and a desire to work on real-world problems with significant societal impact. Relevant research areas include flooding, wildfire, infrastructure interdependencies, remote sensing, generative AI for hazard modeling, optimization, and uncertainty-aware decision-making.

NYU CERA PhD Scholarship 2027 – Key Details

The scholarship listing indicates that applications are reviewed on a rolling basis, so interested candidates are encouraged to apply early.

About the NYU CERA PhD Opportunity

The CERA PhD position is designed for researchers who want to combine computational methods, artificial intelligence, and physical modeling to address complex climate and infrastructure challenges.

Modern cities face increasing risks from extreme weather events and infrastructure failures. Understanding these risks requires advanced computational tools capable of processing large amounts of data, modeling uncertain conditions, and supporting better decisions.

The CERA Lab aims to develop such tools by combining AI, physics-based modeling, network science, optimization, and other quantitative methods. Researchers may work on problems involving natural hazards, infrastructure systems, and the interactions between different components of urban environments.

Research Areas

Candidates may have the opportunity to work in several interdisciplinary research areas.

These include:

Flood risk and modeling

Wildfire risk

Climate-related hazards

Infrastructure interdependencies

Remote sensing

Generative AI for hazard modeling

Machine learning

Network science

Optimization

Uncertainty quantification

Scientific computing

Risk-informed decision-making

The interdisciplinary nature of the research means that applicants from several quantitative academic backgrounds can be considered.

Financial Benefits

The NYU CERA PhD opportunity is described as fully funded. According to the scholarship listing, successful candidates can receive:

Full tuition coverage

A competitive PhD stipend

Comprehensive health insurance

Research support

Conference support

NYU's broader engineering PhD funding information also confirms that doctoral students may receive support through research assistantships, including a monthly salary, tuition remission, and other benefits depending on the appointment. For the 2026–2027 academic year, NYU Tandon lists Research Assistantship monthly salaries of approximately $3,700–$4,150, depending on qualifying-exam status. The exact funding package for an individual CERA candidate should be confirmed in the admission or appointment offer.

Who Can Apply?

The opportunity is aimed at applicants with strong quantitative and analytical abilities and an interest in interdisciplinary research.

Relevant academic backgrounds may include:

Computer Science

Mechanical Engineering

Civil Engineering

Environmental Engineering

Applied Mathematics

Applied Physics

Operations Research

Data Science

Statistics

Computational Social Science

Other related quantitative disciplines

Applicants should demonstrate an interest in applying technical skills to real-world systems and societal challenges.

Preferred Technical Skills

Candidates do not necessarily need experience in every research technique, but the listing identifies several technical areas that can strengthen an application.

Preferred experience includes:

Python programming

Machine learning and artificial intelligence

Numerical modeling

Computer simulation

Network science

Graph-based methods

Optimization

Uncertainty quantification

Remote sensing

Geospatial analysis

Scientific computing

Applicants with a combination of coding, research, and quantitative skills may be particularly well suited to the position.

Research Experience

Research experience is an important part of the candidate profile. Applicants should be able to demonstrate that they can work independently and approach complex technical problems.

Previous publications can strengthen an application, although the listing states that publications are optional rather than mandatory. Candidates should instead emphasize their strongest research projects, technical capabilities, programming experience, and evidence of independent problem-solving.

Application Documents

Applicants are asked to provide a shared online folder containing their application materials.

The listed materials include:

Curriculum Vitae (CV)

Academic transcript

Cover letter

Published paper, if available

The application listing requests that the shared Google Drive, Dropbox, or OneDrive folder be accessible to anyone with the link so that the research team can review the submitted materials.

Applicants should ensure that their CV clearly presents their education, research experience, programming skills, publications, and relevant projects.

How to Apply for NYU CERA PhD Scholarship 2027?

The application process involves two main stages.

Step 1: Submit the Interest Form

Applicants should first complete the CERA Lab's interest form and provide the requested information and application materials.

Step 2: Prepare Your NYU Application

After expressing interest in the research position, applicants must formally apply through the NYU Tandon PhD application portal.

Step 3: Select the Appropriate Programme

The formal NYU application should be submitted under Mechanical and Aerospace Engineering (MAE).

Step 4: Identify the Intended Advisor

Applicants should indicate Dr. Yuki Miura as their intended advisor where requested.

Step 5: Submit Early

Because applications are reviewed on a rolling basis, candidates should avoid waiting until the final stages of the application cycle.

Application Deadline

The NYU CERA PhD listing does not provide a single fixed closing date and states that applications are reviewed on a rolling basis.

The interest form indicates possible starting terms including Fall 2026, Spring 2027 and Fall 2027, with the opportunity particularly relevant to candidates planning a 2027 start. Applicants should select their earliest intended start date according to their circumstances.

NYU Tandon's general graduate application portal currently indicates that the 2026 application cycle is closed and that the 2027 application is expected to open in September. Applicants should check the official NYU portal for the current programme deadline before submitting the formal application.

Selection Process

Applications are reviewed by the research team, and only shortlisted candidates may be contacted.

The selection process may include evaluation of:

Academic preparation

Quantitative skills

Programming ability

Research experience

Technical background

Motivation

Interdisciplinary interests

Potential societal impact

Shortlisted applicants may also be invited for interviews or technical discussions.

Why Choose This PhD Opportunity?

The NYU CERA PhD opportunity is particularly attractive for researchers interested in the intersection of AI, climate science, and infrastructure systems.

Students can potentially gain experience working on problems that have direct implications for communities, governments and infrastructure operators. The research also provides an opportunity to combine theoretical methods with practical applications.

For students interested in careers in academia, research laboratories, technology, climate analytics, engineering or public-sector innovation, this type of interdisciplinary doctoral research can provide valuable experience.

Final Thoughts

The NYU CERA PhD Scholarship 2027 in the USA is a strong opportunity for candidates with quantitative, computational or engineering backgrounds who want to research climate and infrastructure risks.

With full tuition coverage, a competitive PhD stipend, health insurance, and research and conference support, the opportunity can provide substantial financial assistance during doctoral study.

The research covers emerging areas such as artificial intelligence, machine learning, remote sensing, climate hazard modeling, infrastructure networks, and optimization. Applicants do not need to come from one specific academic discipline, as candidates from computer science, engineering, mathematics, data science, statistics and other related fields may be relevant.

Since applications are reviewed on a rolling basis, interested applicants should begin preparing their CV, transcript, cover letter and research materials as early as possible. Candidates should also verify the latest NYU Tandon application requirements and deadlines before submitting their formal PhD application. 
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