Postdoc in Data Analysis and Data Processing
Date posted
May 11, 2023 3:15 pm
Application deadline
June 11, 2023 5:00 pm
Organization
ESSIC at the University of Maryland
Location
- United States
Job description
Duties:
This project will perform and analyze Observing System Evaluation (OSE) experiments to examine the impacts of different observing systems on El Niño/Southern Oscillation (ENSO) prediction. This will require the incumbent to use the GMAO’s coupled GEOS model and data assimilation system to work on data analysis and data assimilation of numerous observation types that can already be assimilated into the system, and to perform forced and coupled model simulations that investigate the data impacts on the predictions of El Niño and La Niña events. The incumbent will also interact with the Estimating the Circulation and Climate of the Ocean (ECCO) Model Team and, in collaboration with the project lead, devise and run analysis and forecast experiments that isolate the roles of ocean mixing, heat, freshwater and momentum budget and observational error specifications on the representation of the upper ocean in the coupled ocean-atmosphere system.
Qualifications:
Applicants should have extensive knowledge of ENSO dynamics as demonstrated by relevant publication(s), knowledge of tropical observing systems including in situ (e.g., Argo and tropical moorings) and satellite observations (e.g., Jason 3 satellite altimetry and SMAP sea surface salinity), experience running/evaluating coupled and/or global ocean models, execution, analysis, and validation of ocean model forecasts, understanding of ocean dynamics and thermodynamics, knowledge of principles of data assimilation in a global modeling context, deep understanding and practical knowledge of observing system evaluation (OSE) experiment design and evaluation, familiarity with basic metrics to assess model performance and forecast skills.
Required qualifications: Ability to work in a high-end computer UNIX environment and to handle large data sets in NetCDF or other standard formats, extensive knowledge of graphical packages and advanced visualization techniques for ocean and atmospheric data sets, two or more years of experience at the postdoctoral level or above, proficiency with Fortran, Python, and Unix. The individual will be expected to present results in peer-reviewed publications and scientific presentations and writing and reviewing technical reports.
Other desired skills: Experience with the GMAO coupled model and/or ECCO ocean model, Heat, freshwater, and momentum budget analysis.
To Apply: Interested candidates should send a CV with a list of at least 3 professional references and a cover letter explaining how your qualifications meet the posted requirements to anegri@umd.edu.
THE UNIVERSITY OF MARYLAND IS AN EQUAL OPPORTUNITY AFFIRMATIVE ACTION EMPLOYER
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