Postdoctoral Researcher: Climate Data Science & Ocean pCO2

Research Foundation Cuny; United States; On-site; USD 75,000 - 82,000; Full time

Benefits offered by this job

Travel budget

Publication support

On-site in NYC

Job summary

The Terra D2I lab at RFCUNY seeks a postdoctoral researcher to advance reconstruction of the global surface ocean pCO2 field from sparse observations. You will use climate data, satellite features, and machine learning to infill and estimate the ocean carbon sink.

We value strong Python programming, ML workflow experience, and collaboration across disciplines. This is a full-time, in-person role in NYC with opportunities for professional development and travel.

Qualifications

• PhD in physical or mathematical sciences or climate science; ABD accepted but degree by start date.
• Strong programming experience in Python with scientific computing focus.
• Experience with machine learning workflows and statistical modeling.
• Familiarity with geospatial-temporal data analysis and climate data science.
• Excellent written and spoken English.

Responsibilities

• Implement efficient representation: identify informative features and generate new ones.
• Advance ML modeling to improve generalization and domain adaptation.
• Test generalization using Earth System Models and global ocean models.
• Develop custom metrics to assess feature-pCO2 relationships vs observations.
• Additional related duties and occasional travel to conferences.

Skills

Python

Machine learning

Statistical modeling

Geospatial data analysis

English proficiency

Education

PhD in physical or mathematical sciences, climate science, or closely related discipline

Job description

The Terra D2I lab at RFCUNY seeks a postdoctoral researcher to advance reconstruction of the global surface ocean pCO2 field from sparse observations. You will use climate data, satellite features, and machine learning to infill and estimate the ocean carbon sink.

We value strong Python programming, ML workflow experience, and collaboration across disciplines. This is a full-time, in-person role in NYC with opportunities for professional development and travel.