In collaboration with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), the
Atmospheric and Oceanic Sciences Program at Princeton University solicits applications to its Postdoctoral Research Scientist Program funded by the Cooperative Institute for Modeling the Earth System (CIMES).
The AOS Program and GFDL offer a stimulating and supportive environment with significant computational and intellectual resources in which to conduct collaborative or independent research for the modeling, understanding and predictability of the Earth System from weather to centennial time scales. We primarily seek applications from recent Ph.D.s for postdoctoral positions but will accept applications from more experienced researchers. Appointments are made at the rank of Postdoctoral Research Associate, or more senior, initially for one year with the possibility of renewal for a second year based on satisfactory performance and continued funding. A competitive salary is offered commensurate with experience and qualifications.
We seek applications in all areas of Earth System Science comprising the atmosphere, oceans, biosphere, cryosphere, ecosystems applications in weather and climate. The three research themes of CIMES are: 1) Earth System Modeling; 2) Seamless prediction across time and space scales; 3) Earth System Science: Analysis and Applications. The broad scope is improved representation of processes in models, high-resolution modeling, and advancing the understanding of the Earth System including its variations, changes, feedbacks, and sensitivity utilizing models and observations. Current areas of particular interest are: Atmospheric chemistry- biosphere-climate interactions; Aerosol-cloud-precipitation-radiation interactions including ice and mixed-phase microphysics; Lower atmosphere-surface interactions over land and ocean; Ocean dynamics, and impacts on coastal regions and marine resources; Severe convective storms and continental convection; Subseasonal to seasonal predictions of high-impact weather events; Sources of predictability and prediction skill; Decadal projections of regional climate and extremes using large high-resolution model ensembles; Detection and causal attribution of climate change; Applications of novel machine learning methods; Downscaling techniques to address regional impacts.
Further information about the AOS Program may be obtained from:
http://aos.princeton.edu, and about GFDL from http://www.gfdl.noaa.gov. Applicants are strongly encouraged to contact potential hosts at GFDL and/or Princeton University prior to application to discuss areas of possible research.
Complete applications, including a CV, copies of recent publications, three letters of recommendation, and a research proposal of approximately 5 pages including the project title, should be submitted by December 8th, 2022, 11:59pm EST, for full consideration. A goal of our program is providing equal opportunity, diversifying the community of scientists, and making the Program more equitable and inclusive. We will therefore take into consideration personal experiences, as well as efforts in education, outreach or other service activities related to earth system science, which may be described in an optional separate section of the research proposal. Applicants may also describe any impacts of the COVID-19 pandemic on their research which they would like to be taken into consideration. Applicants must apply online at https://www.princeton.edu/acad-positions/position/27766. We would like to broaden participation in earth system scientific research and therefore encourage applications from groups historically under-represented in science. These positions are subject to the University's background check policy.
Princeton University is an Equal Opportunity/Affirmative Action 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.