Job advertisement Postdoctoral Research Associate in multi-angle passive cloud remote sensing for inner/outer structure and motion retrieval

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European Geosciences Union

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Postdoctoral Research Associate in multi-angle passive cloud remote sensing for inner/outer structure and motion retrieval

Position
Postdoctoral Research Associate in multi-angle passive cloud remote sensing for inner/outer structure and motion retrieval

Employer
NASA Jet Propulsion Laboratory / California Institute of Technology logo

NASA Jet Propulsion Laboratory / California Institute of Technology

The Jet Propulsion Laboratory is a unique national research facility that carries out robotic space and Earth science missions. JPL helped open the Space Age by developing America’s first Earth-orbiting science satellite, creating the first successful interplanetary spacecraft, and sending robotic missions to study all the planets in the solar system as well as asteroids, comets and Earth’s moon. In addition to its missions, JPL developed and manages NASA’s Deep Space Network, a worldwide system of antennas that communicates with interplanetary spacecraft. JPL is a federally funded research and development center managed for NASA by Caltech.

Homepage: https://www.jpl.nasa.gov/about/


Location
Pasadena, United States of America

Sector
Government

Relevant divisions
Atmospheric Sciences (AS)
Earth and Space Science Informatics (ESSI)
Nonlinear Processes in Geosciences (NP)

Type
Full time

Level
Experienced

Salary
Salary will be determined based on the successful applicant's level of experience.

Required education
PhD

Application deadline
19 April 2020

Posted
4 April 2020

Job description

The task is to use forward and inverse physics-based 3D radiative transfer modeling to advance the challenge of 3D tomographic reconstruction of clouds using multi-angle imager data from ground-based, airborne and satellite sensors, both in existence and being designed for future deployment. As part of this effort, the appointee will support a sensor-level Observation System Simulation Experiment (OSSE) focused on the joint retrieval of cloud top height and motion vectors at a range of spatial resolutions using either one or two space-based platforms.

Candidate Qualifications:
The candidate must have a PhD in Atmospheric Science, Physics, Electrical Engineering, Computer Science, Applied Math, or a related field, with a background in cloud remote sensing using imaging sensors and/or sensor systems. Experience with three-dimensional radiative transfer in clouds and cloud fields generated with a Large Eddy Simulation (LES) model is required. Experience with the solution of large ill-posed inverse problems is highly desired.