Ocean Modeling & Analysis

ORAU; New York (NY); On-site; USD 70,000 - 90,000; Full time

Job summary

ORAU is offering a unique research opportunity in the NASA Postdoctoral Program for talented scientists focusing on climate science, ocean processes, and machine learning. The position requires a Doctoral Degree and programming skills in Fortran and Python. Successful proposals should leverage observational data to study the impact of the oceans on the Earth System. Applicants must be U.S. citizens, lawful permanent residents, or eligible foreign nationals. Contact Anastasia Romanou for more information.

Qualifications

• Applicants must hold a Doctoral Degree.
• Preferred areas of study include Mathematics, Physics, Engineering, Climate Science.
• Desirable programming skills in Fortran, Python, and MATLAB.

Responsibilities

• Conduct research in climate science using various models and analysis techniques.
• Study ocean-related processes impacting the Earth System.
• Prepare proposals leveraging observational data and machine learning techniques.

Skills

Fortran

Python

MATLAB

Visualization & analysis software

Education

Doctoral Degree

Job description

Organization

National Aeronautics and Space Administration (NASA)

Reference Code

0010-NPP-NOV26-GISS-EarthSci

Application Deadline

11/1/2026 6:00:59 PM Eastern Time Zone

Description

The NASA Postdoctoral Program (NPP) offers unique research opportunities to highly talented scientists, engaging in ongoing NASA research projects at a NASA Center, Headquarters, or affiliated institute. These one‑to‑three‑year fellowships are competitive and designed to advance NASA’s missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology.

This opportunity is closed to applicants who are Senior Fellows (5 years or more past Ph.D.).

The ocean plays a critical role in the Earth System by taking up heat, carbon, and other gases. At NASA‑GISS we aim to better understand ocean‑related processes using the coupled climate model, modelE, the NASA‑GISS modelE‑ESM, reanalysis products, observations, and machine learning to study present, past, and future climates, and exoplanets. The science themes for this call are:

• Uptake of heat and carbon in the Earth System; studies of biogeochemical cycles, response to zero emissions, and marine CDR
• Marine extremes, such as marine heatwaves, low oxygen or high acidity extremes, and others
• Stability of the Atlantic Meridional Overturning Circulation, including fingerprints of AMOC collapse and early warning signals
• Emulators of climate scenarios using machine learning or other statistical techniques

Successful proposals will leverage observational and observation‑based data of relevant geophysical variables, emphasizing NASA mission products, reanalysis products, data assimilation & inverse models, and climate or ocean‑only models, high resolution, regional or process models. The use of innovative analysis techniques, particularly machine learning, is encouraged.

Applicants preferred area of study: Mathematics, Physics, Engineering, Climate Science.

Applicants desirable programming skills: Fortran, Python, MATLAB, or similar visualization & analysis software.

Location

Goddard Institute for Space Studies, New York City, New York

Field of Science

Earth Science

Advisors

Anastasia Romanou

[e-mail]

212-678-5520

Eligibility Requirements

Applicants must hold a Doctoral Degree.

Eligibility is currently open to:

• U.S. Citizens
• U.S. Lawful Permanent Residents (LPR)
• Foreign Nationals eligible for an Exchange Visitor J‑1 visa status
• Applicants for LPR, asylees, or refugees in the U.S. at the time of application with a valid EAD card and pending I-485 or I-589 forms

Applications from citizens of Designated Countries will not be accepted at this time, unless they are legal permanent residents of the United States. A complete list of Designated Countries can be found at https://www.nasa.gov/oiir/export-control.

Contact

For questions about this opportunity, please email [e-mail].