Princeton University: Office of the Dean of the Faculty: Natural Sciences: Atmospheric & Oceanic Sciences
Location: Princeton, New Jersey
Salary Range or Pay Grade: 67,000-77,000
Description
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 scientist for Earth System research and development activities focused on data science and engineering applied to stakeholder-relevant issues.
The scientists will collaborate with Princeton and NOAA/GFDL researchers to expand the reach of GFDL’s model data (both historical and future projections) to communities in need of improved decision-making guidance. The successful candidates will have the opportunity to develop actionable weather and Earth System data and knowledge that will be used directly by applied researchers and NOAA stakeholders interested in adaptation to natural hazards and extreme weather potentially spanning sub-seasonal to multidecadal timescales.
The selected candidates will join a vigorous research group at Princeton University, working in close collaboration with federal scientists at GFDL with diverse expertise in areas such as hydrology, air quality, boundary layer turbulence, or empirical statistical downscaling. The individuals will have access to state-of-the-art numerical models and high-performance computing systems at Princeton and NOAA, working alongside GFDL researchers to advance the evaluation, translation and transfer of the state-of-the-art dynamical models results. This effort will lead to the creation and distribution of data products of value to key NOAA stakeholders involved in planning and decision-making.
Qualifications
Candidates must have a PhD in atmospheric physics, hydrology, meteorology, Earth system science, climate studies, applied mathematics, or related fields. Candidates should demonstrate a strong background in Earth system science, as well as experience using and analyzing numerical model output and/or large observational datasets. Successful candidates are expected to be skillful in some, but not necessarily all, of the following areas: experience with software languages and tools such as Python, R, Linux, GitHub, Globus, high-performance computing and/or cloud computing; familiarity with Earth system models through model development, model execution, and/or model performance diagnoses; applied mathematics methods such as machine learning techniques, bias adjustment, and downscaling of meteorological fields; strong data analysis skills; and strong communication skills.
Application Instructions
The initial appointment is for one year with the possibility of renewal subject to satisfactory performance and available funding. 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. This position is subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University. This position is not eligible for sponsorship of an H-1B visa requiring consular processing; other visa sponsorships (including H-1B visas not requiring consular processing) may be available, as appropriate.
Complete applications should include a cover letter, CV, publication and presentation list, 3 letters of recommendation, and a one-to-two page personal statement and/or a research statement. Review of applications will begin March 31, 2026 and continue until the position is filled. For additional information, contact Aparna Radhakrishnan (aparna.radhakrishnan@princeton.edu).
Equal Employment Opportunity Statement
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.
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