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<p><span>Spire Global (</span><a href="http://www.spire.com/">www.spire.com</a><span>)
is looking for an experienced Data Assimilation Scientist to
join our team in Boulder, CO. If you're interested, please read
the following description and apply directly via the link
provided. </span><br>
</p>
<p>Apply here: www.<span><a
href="http://spire.com/careers/openings/?gh_jid=639395">spire.com/careers/openings/?gh_jid=639395</a></span></p>
<p><span>For further information on Spire, check out and read Inc
Magazine's interview with our CEO Peter Platzer: <a
href="https://goo.gl/ydA6VW">https://goo.gl/ydA6VW</a> or
watch </span>Tiny Satellites With Huge Impact - <a
href="https://youtu.be/aQb-XacYQvw">https://youtu.be/aQb-XacYQvw</a></p>
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<div><b>Data Assimilation Scientist
<div class="gmail_default"> </div>
</b><span class="gmail-company-name">at Spire </span>
<div class="gmail-location">Boulder, CO</div>
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<div>
<div class="gmail-location"><br>
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<div class="gmail-">
<p>Spire Global is seeking a Data Assimilation Scientist that
will contribute to the Company’s effort of developing advanced
Data Assimilation (DA) methods in support of our satellite
missions. This is an exciting opportunity for motivated
scientists to make a difference through advancing DA
techniques and assimilating unprecedented large amounts of
Radio Occultation (GNSS-RO) and other satellite data. The
successful candidate will join DA Team under the Global
Validation Model branch at Spire Office in Boulder, Colorado,
USA. They will have opportunities to work with top-level
scientists at Spire as well as scientists from around the
world on issues that matter.</p>
<p><strong><br>
</strong><strong>Responsibilities:</strong> </p>
<p>The successful candidate will work with Spire DA and GVM team
members to implement and evaluate cutting-edge DA methods and
assimilate large amounts of GNSS-RO and other satellite data
into the Global Validation Model (GVM). Responsibilities will
include the following tasks:</p>
<ul>
<li>Proposing innovative approaches to DA, data processing and
quality control.</li>
<li>Developing and implementing the DA systems capable of
assimilating GNSS-RO and other satellite data into the GVM.</li>
<li>Working with GVM team members to evaluate DA impact on the
forecast improvement.</li>
<li>Working with software engineering team to define most
effective software solutions.</li>
<li>Presenting research findings at scientific conferences or
workshops.</li>
</ul>
<p> <strong>Qualifications: </strong></p>
<ul>
<li>Applicants must have either a MS or PhD degree in
Meteorology, Atmospheric Science, or equivalent working
experience in DA methods.</li>
<li>Working experience with cutting-edge DA methods, such as
3D-Var, 4D-Var, ensemble Kalman filter and hybrid
ensemble-variational methods.</li>
<li>Working experience with satellite radiance assimilation.</li>
<li>Working experience with DA systems involving complex NWP
models, such as WRF, GFS and ECMWF forecast models.</li>
<li>Working knowledge of Fortran-90, Python, Linux scripting
and code management practices.</li>
<li>Working experience with GSI (Gridpoint Statistical
Interpolation) DA system is desirable.</li>
<li>Knowledge of optimal control theory, minimization methods
and machine learning techniques is desirable.</li>
<li>Demonstration of enthusiasm and ability to work in a
development team that never stops improving DA methods and
results.</li>
</ul>
<p> <strong>Application Deadline: </strong>Review of
applications will begin upon the receipt of applications and
continue until the positions are filled.</p>
<p> <strong>Annual Salary:</strong>Commensurate with
qualifications and experience.</p>
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