Scientist

The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks two postdoctoral or more senior research scientists for research focused on high-resolution ocean models and their role in coupled atmosphere-wave-ocean models implemented for simulating coastal storm events and impacts.

The individuals will collaborate with GFDL researchers to enhance and analyze the Modular Ocean Model 6 (MOM6) component of a high-resolution regional coupled model system that also utilizes NOAA’s state-of-the-art SHiELD atmospheric model and WAVEWATCH III wave model. This project will emphasize research that targets understanding the role of small-scale (<10km) coupled air-sea interactions and boundary layer processes in the development of coastal weather systems and storm events. The project will also emphasize understanding the societal risks associated with coastal storm events, including the ability to simulate precipitation patterns and coastal plains flooding events. The selected candidates will join a vigorous research group at Princeton University, working in close collaboration with Drs. Rong Zhang, Brandon Reichl, and John Krasting at NOAA/GFDL. The individuals will have access to state-of-the-art numerical models and high-performance computing systems at Princeton and NOAA, working alongside GFDL model developers to advance capabilities for high-resolution coupled regional modeling.

Candidates must have a Ph.D. in physical oceanography, atmospheric science, applied math, the physical sciences, or a closely related field. The following attributes are desirable: (a) a background in coupled air-sea interactions and atmosphere/ocean boundary layer processes; (b) experience in using advanced coupled ocean models; (c) experience in developing numerical models in collaborative environments; (d) excellent written, oral, and visual communication skills, demonstrated through prior peer-reviewed publications and presentations at major conferences; and (e) experience with software development and analysis tools, such as Git, Linux, Bash/Csh, Python, Fortran, NetCDF, Pangeo, Jupyter, and/or Matlab. Prior experience with the MOM6 model is desirable but not required.

The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. Princeton is interested in candidates who, through their research, will contribute to the diversity and excellence of the academic community. The work location for this position is in-person on campus at Princeton University. This position is subject to the University's background check policy.

Complete applications will include a cover letter, CV, publication and presentation list, 3 letters of recommendation, and a one-to-two page research statement. Review of applications will begin March 20, 2026, and continue until the position is filled. For additional information, contact Rong Zhang < rong.zhang@noaa.gov >, Brandon Reichl < brandon.reichl@noaa.gov >, or John Krasting .

Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Pay Transparency Disclosure

The University considers factors such as (but not limited to) the scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

The University also offers a comprehensive benefits program to eligible employees. Please see this link for more information.