[ES_JOBS_NET] Visiting Scientist or Postdoc: Ocean biology simulations/machine learning with PACE data science mission

[Halley Thompson]

The Goddard Earth Sciences Technology and Research II (GESTAR II)
consortium at NASA’s Goddard Space Flight Center (GSFC) invites
applications for an early career research scientist position in the field
of bio-optical oceanography, atmospheric radiative transfer, physical
science, computer science, engineering, and/or mathematics.

The incoming scientist will join the Ocean Ecology Laboratory (Code 616) at
GSFC (https://oceancolor.gsfc.nasa.gov/), and support the Plankton,
Aerosol, Cloud, ocean Ecosystem (PACE) mission (https://pace.gsfc.nasa.gov/).
PACE is a NASA Earth-observing satellite mission to advance global remote
sensing of ocean biology and biogeochemistry (or ocean color), as well as
aerosol and cloud optical properties.

The incumbent scientist will support the PACE Project Science, PACE Science
Data Segment (SDS), and Ocean Biology Processing Group (OBPG) within 616.
The role is to advance PACE atmospheric correction capabilities using
radiometry and polarimetry from the three PACE instruments. The candidate
will investigate approaches that merge physics-based radiative transfer
simulations with machine learning algorithms to improve ocean color
retrievals when combining PACE radiometry with multiangular polarimetry.
The work will also involve developing Bayesian Inference techniques and
uncertainty quantification and validation in an operational processing
environment to process large-scale satellite data. The incoming scientist
shall be dedicated to our goal of producing scientifically relevant
geophysical data products and will communicate and interact effectively
with non-specialists to implement practical solutions at scale.

Required Qualifications:

The position requires a machine learning/artificial intelligence skill set
and the ability to work with big data.

   - Degree in Physical Science, Computer Science, Engineering, Statistics,
   Mathematics, or related field
   - Minimum of 4 years of relevant experience or an equivalent combination
   of education and experience
   - Experience with scientific programming in Python, C/C++, Fortran, or
   equivalent
   - Experience with machine learning/artificial intelligence
   - Bayesian Inference techniques such as optimal estimation and Markov
   Chain Monte Carlo
   - Experience with radiative transfer and remote sensing
   - Familiarity with software development tools and version control, such
   as Git

The successful candidate will join the GESTAR II Consortium which supports
over 120 researchers based primarily at NASA Goddard Space Flight Center
(GSFC). GESTAR II researchers work to create extensive opportunities for
breakthroughs in earth and atmospheric science research, carrying out
observational, experimental and theoretical research in support of NASA
strategic Earth Science mission objectives.

Goddard’s Earth Science Division is home to about 200 civil servants and
over 1200 collaborating researchers and support personnel, dedicated to
studying the Earth as an integrated system that includes the atmosphere,
oceans, biosphere, cryosphere, and geosphere. The Division operates as a
component of the Sciences and Exploration Directorate that collaborate on
interdisciplinary research with the Astrophysics Science, Heliophysics
Science, and Solar System Exploration Divisions.

The anticipated starting date is early spring, but alternate dates are
possible depending on availability. This is expected to be a two-year
position with the potential of a third year depending on availability of
funding.

Candidates should provide a cover letter, CV (including publication list)
and a 1-2 page statement of research interests. Short-listed candidates
will be asked to supply three letters of reference at a later date. All
materials and inquiries should be sent by email to: Halley Thompson (
halleyt at umbc.edu) with the Subject line: “Task 174: Researcher Position”

Completed applications received by February 24 will receive full
consideration, however the posting will remain open until the position is
filled.

Salary and benefits are competitive, commensurate with experience and
qualifications. The GESTAR II consortium and NASA GSFC are committed to
building a diverse research community and encourage applications from
women, racial and ethnic minorities, individuals with disabilities and
veterans. All GESTAR II institutions are Affirmative Action, Equal
Opportunity Employers.

For more information about the proposed research, contact Dr. Amir Ibrahim (
amir.ibrahim at nasa.gov).

-- 

*Halley Thompson, MPA, PHR*

she/they (what's this? <https://www.glsen.org/activity/pronouns-guide-glsen>
)

Program Specialist

GESTAR II at MSU

Hiring Specialist

GESTAR II Consortium
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