|From||Mitchell Bushuk - NOAA Affiliate <firstname.lastname@example.org>|
|Date||Fri, 8 Sep 2017 10:03:15 -0400|
Postdoctoral Research Associate in Sea-Ice Predictability
The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL), and the Andlinger Center for Energy and the Environment, seeks a postdoctoral or more senior research associate to investigate the predictability of Arctic sea ice on seasonal to inter-annual timescales using a dynamical prediction system.
This work will specifically focus on the impact of ocean, atmosphere, and sea ice initial conditions on the seasonal prediction skill of Arctic sea ice. The successful candidate will perform and analyze a suite of idealized and operational prediction model experiments using GFDL coupled global climate models. Key research questions targeted in this work include: (1) Initialization of sea-ice thickness using satellite and in situ observations, and its impact on summer sea-ice predictions; (2) The role of subsurface ocean initialization in predictions of winter sea ice; and (3) The development of data assimilation techniques for sea-ice concentration and sea-ice thickness.
Candidates with expertise in data assimilation, sea-ice modeling, or ensemble prediction are especially encouraged to apply. Candidates must have a Ph.D. in atmospheric and oceanic sciences, applied mathematics, physics, or a related field. Initial appointment is for one year with the possibility of renewal subject to satisfactory performance.
applications, including a cover letter, CV, statement of research interests
(max 3 pages), and contact information for 3 references should be submitted by November
15, 2017 for full consideration. Applicants must apply online to https://www.princeton.edu/
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.
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