CEDAR email: Job opening: NWP Data Assimilation Scientist at Spire Global (Boulder Office)

[Matthew Hei]

Spire Global invites applications for one Data Assimilation Scientist
position (Numerical Weather Prediction) in our Boulder, Colorado office.
Applications may be submitted via the Spire website:
https://spire.com/en/spire/careers/2019600



Questions about the position may be directed to the following:

Matthew Hei, NWP Data Assimilation, matthew.hei at spire.com

Dusanka Zupanski, Director NWP Data Assimilation, dusanka.zupanski at
spire.com



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*Spire Global is a space-to-cloud analytics company that owns and operates
the largest multi-purpose constellation of satellites. Its proprietary data
and algorithms provide the most advanced maritime, aviation, and weather
tracking in the world. In addition to its constellation, Spire’s data
infrastructure includes a global station network and 24/7 operations that
provide real-time global coverage of every point on Earth.*

Spire Global is seeking a Data Assimilation Scientist to contribute to the
development of advanced Data Assimilation (DA) methods; they will utilize
data from Spire’s GNSS-RO/GNSS-R satellite constellation and other sources
to create world-class Numerical Weather Prediction (NWP) forecasts. This is
an exciting opportunity for motivated scientists to make a difference
through advancing DA techniques and assimilating unprecedented numbers of
Radio Occultation (GNSS-RO) and Reflectometry (GNSS-R) observations. The
successful candidate will join the Data Assimilation Group in Boulder,
Colorado; they will work on issues of international significance with
top-level scientists at Spire, as well as scientists from around the world.



*Responsibilities:*

The successful candidate will work with Spire DA, weather forecast, and
software engineering teams to implement and evaluate cutting-edge DA
methods. They will assimilate space, air, and ground based observations
into a global NWP model. The assimilation of Spire’s own GNSS data into
this model represents a unique opportunity; never before have so many GNSS
observations been assimilated into an NWP model. Responsibilities will
include the following:

   - Proposing and implementing innovative approaches to DA, data
   processing and quality control.
   - Implementing cutting-edge capabilities for assimilating GNSS-RO,
   GNSS-R and other satellite data into the NWP model.
   - Developing and implementing methodologies for estimating forecast
   sensitivity to observations.
   - Combining data assimilation and machine learning methods.
   - Working with the Spire software engineering team to define most
   effective software solutions.
   - Collaborating with the JCSDA/JEDI community on unified DA and
   observation operator development.
   - Presenting research findings at scientific conferences or workshops
   and publishing scientific papers.



*Qualifications: *

   - Applicants must have either a MS or PhD degree in Meteorology,
   Atmospheric Science, Mathematics, or equivalent working experience in DA
   methods.


   - Working experience with cutting-edge DA methods such as 4D-Var or
   hybrid ensemble-variational methods is strongly preferred; experience with
   ensemble Kalman filter (EnKF), 3D-Var, and other techniques is also of
   interest.
   - Working experience with DA systems involving community NWP models such
   as FV3, MPAS and GFS.
   - Working experience with JCSDA/JEDI DA tools and forward operators.
   - Working knowledge of Fortran, Python, Linux scripting and version
   control (e.g., Git, SVN, Bitbucket).
   - Working experience with meteorological data formats (e.g., NetCDF,
   BUFR, and GRIB) and software tools (e.g., ESMF) is desirable.
   - Knowledge of optimal control theory and minimization methods is
   desirable.
   - Demonstration of enthusiasm and ability to work in a development team
   that never stops improving DA methods and results.
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