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January 2019
Message 60

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[Met-jobs] Scientist, Pasadena, California. OCO-2/OCO-3, carbon cycle science, atmospheric composition

From "Payne, Vivienne H (329I)" <Vivienne.H.Payne@jpl.nasa.gov>
To "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Date Thu, 17 Jan 2019 04:38:00 +0000

 Job Title: Scientist, OCO-2/OCO-3
Location: Pasadena, CA

https://www.jpl.nasa.gov/opportunities/experienced/ (Job ID 2018-10165)
        
The Jet Propulsion Laboratory, California Institute of Technology invites 
applications for a staff Scientist in the Tropospheric Composition group in the 
Earth Science Section at JPL. In this position, you will be responsible for 
evaluating and improving retrievals of atmospheric composition, with a focus on 
greenhouse gases, including the CO2 measurements from the OCO-2 and OCO-3 
missions in conjunction with companion species such as CO, NO2 and O3 from 
instruments such as CrIS, AIRS and TROPOMI. You will work closely with the 
project teams including calibration, algorithm, validation and mission 
planning. You will be work in a dynamic, multidisciplinary team environment, 
addressing cross-cutting challenges in the anthropogenic footprint of carbon 
and its relationship to air quality and climate, harnessing multiple 
measurements, models and data assimilation systems across multiple scales. 
Based on these investigations, you will contribute to cross-discipline teams in 
the definition of new science priorities and in the development of new mission 
concepts needed to advance them.

This position requires the following qualifications:
•       PhD in Atmospheric Science, Geophysics or a related technical discipline
•       Advanced knowledge of one or more of the following areas: carbon cycle 
science, atmospheric composition, air quality
•       Demonstrated experience performing atmospheric retrievals from high 
resolution spectral measurements
•       Demonstrated experience with statistically-based validation of remote 
sensing datasets against independent measurements
•       Strong programming skills in one or more languages
•       Advanced knowledge of optimal estimation (Bayesian) approach for remote 
sensing
•       Excellent oral (including public speaking) and written communication 
skills
•       Strong interpersonal skills and demonstrated experience of working in a 
team environment

The following qualifications are preferred:
•       Experience in handling large datasets
•       Experience with working with one or more of the OCO-2 Level 2 dataset, 
the ACOS algorithm, the TCCON validation dataset and the GGG2014 algorithm
•       Experience with operation of ground-based instrumentation for validation
•       Experience with field campaigns for measurements of greenhouse gases 
and/or air quality, particularly with mobile Fourier Transform Spectrometers.
•       Experience programming in both Fortran and Python.

Please visit https://www.jpl.nasa.gov/opportunities/experienced/ (Job ID 
2018-10165) for a full description. Applications received by February 15, 2019 
will receive full consideration.



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