[ES_JOBS_NET] Data Scientist position: Computer vision and other AI techniques in support ocean, atmospheric aerosol, and cloud remote sensing

[Halley Thompson]

Data Scientist position: Computer vision and other AI techniques in support
ocean, atmospheric aerosol, and cloud remote sensing

The Goddard Earth Sciences Technology and Research II (GESTAR II)
consortium at NASA’s Goddard Space Flight Center (GSFC) invites
applications for a data scientist position in Physical Science, Computer
Science, Engineering, Statistics, Mathematics, or related field.



The incoming scientist will join the NASA GSFC Ocean Ecology Laboratory
(science.gsfc.nasa.gov/earth/oceanecology
<https://science.gsfc.nasa.gov/earth/oceanecology/>) to develop novel
computer vision and other AI techniques in support of ocean, atmospheric
aerosol, and cloud remote sensing. The candidate should be an independent
scientist who:

   - can apply state of the art methods in the analysis and processing of
   unique remote sensing data, such as those from multi-angle polarimeters,
   - is dedicated to our goal of producing scientifically relevant
   geophysical data products, and
   - is able to communicate and interact effectively with non-specialists
   to implement practical solutions at scale.



The position will primarily support two forthcoming NASA missions. The NASA
Plankton, Aerosol, Cloud, ocean Ecosystem Mission (PACE, pace.gsfc.nasa.gov)
will be launched in 2024. PACE will have three passive sensors with
groundbreaking spectral, polarimetric and multi-angle observing capability.
The NASA Atmosphere Observing System Mission (AOS, aos.gsfc.nasa.gov) will
utilize multiple active and passive sensors on several spacecraft launched
in the 2028-2030 timeframe for observation of atmospheric aerosols, clouds,
convection and precipitation. Both missions will have passive,
polarimetrically sensitive, imagers that make multi-angle observations in
the UV-SWIR. The corresponding data are very rich, but efficient analysis
and processing at a global remote sensing scale is the core challenge the
successful applicant will address.



Required Qualifications:

   - Degree in Physical Science, Computer Science, Engineering, Statistics,
   Mathematics, or related field and minimum of 4 years of relevant
   experience, or an equivalent combination of education and experience.
   - Experience with scientific programming in C/C++, Fortran, Python, IDL
   or equivalent.
   - Experience applying machine learning methods to solve computer vision
   and similar problems.



Desired Experience

   - Satellite data geolocation and projection.
   - Atmosphere, ocean and land surface radiative transfer. Creation of
   machine learning radiative transfer emulators.
   - Remote sensing of the ocean, atmosphere and land surface.
   - Remote sensing with passive multi-angle polarimetric instruments.
   - Scientific software development in a high-performance computing
   environment.
   - Application of Bayesian inference techniques.
   - Evaluation / validation of satellite observations against reference
   data sources.

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 nominal starting date is early spring, but alternate dates are possible
depending on availability.



Candidates should provide a cover letter, CV (including publication list)
and a 3-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 Subject line: Task 175:
Researcher Position to: Halley Thompson (halleyt at umbc.edu)



Completed applications received by February 17, 2023, 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. Kirk
Knobelspiesse (kirk.d.knobelspiesse 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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