CEDAR email: JOB OPENING: Space Physicist in Machine Learning and Space Weather

[Paul Lotoaniu - NOAA Affiliate]

JOB OPENING: Space Physicist in Machine Learning and Space Weather
From: Paul Loto'aniu (paul.lotoaniu at noaa.gov)

The Cooperative Institute for Research in Environmental Sciences (CIRES) at
the University of Colorado Boulder has an immediate opening for a Space
Physicist. This position supports NOAA’s National Centers for Environmental
Information (NCEI) in work related to the magnetometers (MAG) on the GOES-R
mission satellites. The physicist will develop machine learning techniques
for satellite data correction algorithms and for space weather research.
The position is initially for one year, with up to two additional years
depending on performance and availability of funding. The Geostationary
Operational Environmental Satellite Series-R (GOES-R) is NOAA’s next
generation of geostationary weather satellites, which include a complement
of space weather sensors to monitor the local space environment and the
Sun. Two of the GOES-R satellites have been launched and are now called
GOES-16 and GOES-17.

Requirements:
A Masters or Ph.D. in a hard science, mathematics, or statistics with an
emphasis on machine learning, statistics, space physics, astrophysics,
geophysics, or, similar scientific discipline. Extensive experience in
time-series analysis. Knowledge of Python, IDL, Matlab or other high-level
programming languages.

Desired:
Experience using TensorFlow, Torch, Theano, Caffe, Neon, the IBM Machine
Learning Stack or similar frameworks. Research or course work in Machine
Learning (ML), Research or course work in space physics, Understanding of
magnetospheric physics and/or the geomagnetic field, Experience working
with spacecraft science data, Experience using cloud services such as AWS.

Apply at:
https://jobs.colorado.edu/jobs/JobDetail/CIRES-NCEI-Space-Physicist-in-Machine-Learning-and-Space-Weather/20093

For further information contact Dr. Paul Loto’aniu (paul.lotoaniu at noaa.gov)
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