[ES_JOBS_NET] CIRES/PSD Post-Doc in Machine Learning for Improved Weather Forecasts, Boulder, CO

[Christine Wiedinmyer]

https://jobs.colorado.edu/jobs/JobDetail/CIRES-PSD-Post-Doc-in-Machine-Learn
ing-for-Improved-Weather-Forecasts/18922?

 


CIRES/PSD Post-Doc in Machine Learning for Improved Weather Forecasts


Job Summary


The skill of weather forecasts has improved steadily over the past four
decades as the results of better forecasting models, better and more
numerous observations, more efficient use of observations through data
assimilation, and more refined after-the-fact correction of forecasts based
on historical errors. Machine learning techniques, exploiting the explosive
growth of knowledge, tools, and software, are now the basis for many
corrections. The University of Colorado's Cooperative Institute for Research
in Environmental Sciences (CIRES) and the Physical Sciences Division (PSD)
at the NOAA Earth System Research Lab in scenic Boulder, Colorado, seeks an
enthusiastic and capable Postdoc to help us tighten up this loop and use
machine learning to make forecasts that require less correction. 

 

The Postdoc will work with world leaders in data assimilation and  ensemble
forecasting to improve forecasts by machine-learning short-term forecast
error and forecast uncertainty, with the aim of applying those error
corrections in-line to improve ensemble forecasts. The requirement to
improve probabilistic forecasts - not only the average error but the chaotic
variability - makes this an especially challenging and exciting application.
This is a real-world application: the project will use NOAA's
next-generation global forecasting system. Our group is tightly linked to
the National Weather Service and effective corrections could be affecting
national weather forecasts within a few years. 


 


Who We Are


At CIRES, the Cooperative Institute for Research in Environmental Sciences,
more than 800 environmental scientists work to understand the dynamic Earth
system, including people's relationship with the planet. CIRES is a
partnership of NOAA and the University of Colorado Boulder, and our areas of
expertise include weather and climate, changes at the Earth's poles, air
quality and atmospheric chemistry, water resources, and solid Earth
sciences. Our vision is to be instrumental in ensuring a sustainable future
environment by advancing scientific and societal understanding of the Earth
system.

Physical Sciences Division website:

 <https://www.esrl.noaa.gov/psd/> https://www.esrl.noaa.gov/psd/


 


What Your Key Responsibilities Will Be


The Postdoctoral researcher will work with NOAA and CIRES scientists at PSD
to develop machine learning corrections for ensemble forecasts with NOAA's
prototype global weather forecasting system. Tasks will include replaying
the forecasts model against operational analyses on high-performance
computing systems to develop a long history of incremental analysis updates,
using machine learning to predict the analysis corrections based on the
model state, and assessing the degree to which probabilistic forecast skill
can be improved by applying the corrections.


 


What You Should Know


The project is funded for two years with some possibility for extensions. 

CIRES commits to inclusive excellence by advancing equity and diversity in
all that we do. We are an Affirmative Action/Equal Opportunity employer, and
particularly encourage applications from members of historically
underrepresented racial/ethnic groups, women, individuals with disabilities,
veterans, LGBTQ community members, and others who demonstrate the ability to
help us achieve our vision of a diverse and inclusive community.

This position will be rostered in CIRES at the University of Colorado
Boulder, but will be physically situated in the David Skaggs Research
Center, 325 Broadway, Boulder, CO 80305.  If you are the selected finalist
you will be required to pass a federal laboratory background clearance for
site access.

What We Can Offer


What We Can Offer


We can offer a competitive salary, commensurate with experience, along with
a generous benefits package. 

Benefits


Benefits


The University of Colorado offers excellent
<https://www.cu.edu/cu-careers/perks/cu-boulder> benefits, including
medical, dental, retirement, paid time off, tuition benefit and ECO Pass.
The University of Colorado Boulder is one of the largest employers in
Boulder County and offers an inspiring higher education environment. Learn
more about the  <http://www.colorado.edu/about> University of Colorado
Boulder.

Be Statements


Be Statements


Be Challenged. Be Impactful. Be Boulder.

What We Require


What We Require


*	A relevant PhD degree is required for this role.
*	Experience in ensemble forecasting, data assimilation, and machine
learning.
*	Candidate must be comfortable working in Python and familiar with
ensemble forecasting concepts.
*	Candidate must be competent in using high-performance computing to
produce large datasets with a global weather forecasting model.

 

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