Postdoctoral Research Associate – Princeton University, GFDL

MPOWIR Mentoring Physical Oceanography Women to Increase Retention; Princeton (NJ); On-site; USD 60,000 - 70,000; Full time

Job summary

A leading research institution in Princeton is seeking a Postdoctoral Research Scientist to conduct research in earth system modeling and prediction. Candidates must have a Ph.D. in a related field, show a strong interest in relevant research areas, and possess excellent communication skills for collaboration. This position offers a competitive salary and opportunities for renewal based on performance. Applications are encouraged from historically under-represented groups in science.

Qualifications

• Ph.D. in a related field or equivalent experience.
• Strong interest in earth system science research.
• Ability to collaborate with researchers across institutions.

Responsibilities

• Conduct collaborative or independent research related to earth system modeling.
• Engage in modeling and understanding of the Earth System.

Skills

Interest in earth system modeling

Communication and collaboration skills

Education

Ph.D. in a related field

Job description

Overview

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 CIMES. The AOS Program and GFDL offer a stimulating environment with significant computational and intellectual resources to conduct collaborative or independent research for the modeling, understanding and predictability of the Earth System from weather to centennial time scales. 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 within the CIMES themes: 1) Earth System Modeling; 2) Seamless prediction across time and space scales; 3) Earth System Science: Analysis and Applications. The broad scope includes improved representation of processes in models, high-resolution modeling, and advancing the understanding of the Earth System including its variations, changes, and sensitivity. Current areas of particular interest include: Stratospheric chemistry and volcanic aerosols; Ice and mixed-phase cloud microphysics; Aerosol-cloud-precipitation-radiation interactions; Lower atmosphere-surface interactions over land and ocean; Ocean dynamics and its role in climate and ocean ecosystems; Subseasonal to seasonal predictions of high-impact weather events; Decadal projections of regional climate and extremes using large high-resolution climate model ensembles; Detection and causal attribution of climate; applications of novel machine learning methods; Statistical downscaling and bias correction of model simulations.

Further information about the Program may be obtained from: http://aos.princeton.edu. Applicants are strongly encouraged to contact potential hosts at GFDL and Princeton University prior to application to discuss areas of possible research.

Responsibilities and Qualifications

Responsibilities include conducting collaborative or independent research related to earth system modeling and prediction within CIMES themes. Qualifications include a Ph.D. in a related field (or equivalent experience); strong interest in the listed research areas; ability to communicate and collaborate with researchers across institutions. Appointments are for one year with the possibility of renewal for a second year based on performance and funding.

Application Information

Complete applications, including a CV, copies of recent publications, three letters of recommendation, and a research proposal including the project title, should be submitted by December 15th, 2019 for full consideration. Applicants must apply online to https://www.princeton.edu/acad-positions/position/14241. We encourage applications from groups historically under-represented in science. These positions are subject to the University’s background check policy.

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