Postdoc Research Opportunity in Climate, Energy, and Risk Analytics Lab (CERA)
Start Date: January 2025
Affiliated Departments: Center for Urban Science and Progress, Mechanical and Aerospace Engineering at New York University
About Us: At the Climate, Energy, and Risk Analytics Lab (CERA), we drive innovation in understanding and managing climate risks and energy transitions using data-driven approaches with collaborations with stakeholders. Our cutting-edge research focuses on identifying, quantifying, and mitigating various climate risks including floods, heatwaves, and transition risks to build resilient communities, protect assets, and support institutions. The successful candidate may have an opportunity to work closely with the NPCC members and NYC municipal leaders. Our research projects include:
- Modeling Urban Flood Risks: Developing statistical and machine learning models, complex models, and physics models to forecast floods and their cascading socioeconomic impacts.
- Quantifying Damage: Using neural network and LLM and satellite imagery to detect damage to buildings from climate-related hazards including flood, drought, heatwave, and wildfire.
- Designing Optimal Protective Strategies: Developing decision-making frameworks and optimization algorithms to ensure cost-effective and equitable measures against various natural hazards using hazard and demographic data.
- Transition Risk in Energy Systems: Investigating the risks associated with transitioning to renewable energy sources. This project involves quantitative financial risk assessment and scenario analysis to support sustainable energy policy and investment decisions.
About Dr. Yuki Miura: Dr. Miura is an assistant professor in the Department of Mechanical and Aerospace Engineering and the Center for Urban Science and Progress at NYU where she leads the CERA Lab. She serves as a faculty advisory board at NYU Stern School of Business and the NYC Panel on Climate Change (NPCC5). Previously, she worked at Morgan Stanley in climate risk management and quantitative strategy. She holds a PhD, MPhil, and MS in Civil Engineering and Engineering Mechanics from Columbia University, and a BE in Systems Design Engineering from Keio University, Japan.
Qualifications:
We are seeking passionate candidates to tackle complex climate issues.
- PhD in computer science, mechanical/civil/environmental/industrial engineering, operations management, applied statistics, and relevant fields
- Research experiences in machine learning, operations research, climate science, applied statistics, engineering, risk analysis, data science, fluid dynamics, optimization, generative AI, and relevant fields
- Proficiency in programming languages (e.g., Python)
- Excellent communication skills
Eligibility:
- Individuals who have completed their doctoral dissertation within the last three years or who will have completed their dissertation by January 2025
Required application materials include:
- a curriculum vitae
- a statement of research and goals
- a cover letter that explains the alignment of the lab and your background
- three reference contacts (name, title, professional relationship, email)
- transcripts
Deadlines:
The applications will be reviewed on a rolling basis from Nov. 25, 2025 until the position is filled.
