[ES_JOBS_NET] Postdoc: Use of GNSS radio occultation obs. in global and hurricane analyses and prediction

Karina Apodaca - NOAA Affiliate karina.apodaca at noaa.gov
Fri Nov 2 13:56:07 MDT 2018


Hi,
I would like to advertise the postdoc position shown below.
Thanks,
Karina

https://um.hodesiq.com/job_detail.asp?JobID=5568601&user_id=&ViewAll=

Career Opportunities The University of Miami is considered among the top
tier institutions of higher education in the U.S. for its academic
excellence, superior medical care, and cutting-edge research. At the U, we
are committed to attracting a talented workforce to support our common
purpose of transforming lives through teaching, research, and service.
Through our values of Diversity, Integrity, Responsibility, Excellence,
Compassion, Creativity and Teamwork (DIRECCT) we strive to create an
environment where everyone contributes in making UM a great place to work.
We are one of the largest private employers in Miami-Dade County; home to
more than 13,400 faculty and staff from all over the world.

The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) of the
University of Miami (UM) invites applications for a Postdoctoral Associate
position that involves the use of Global Navigation Satellites Systems
(GNSS) radio occultation observations to improve global and hurricane
weather analyses and forecasts. The successful candidate will be
responsible for conducting research to improve the use of radio occultation
observations to improve global and hurricane weather prediction. More
specifically, the incumbent will be responsible for developing,
implementing and testing improved assimilation algorithms for radio
occultation observations into NOAA’s operational models. He or she will
also be responsible for conducting numerical weather prediction
experiments, interpreting the results, presenting findings at scientific
meetings and contributing significantly to the publication of results in
scientific journals.

The work will be done in close collaboration with scientists in the
Hurricane Research Division (HRD) at the National Oceanic and Atmospheric
Administration's (NOAA) Atmospheric Oceanographic and Meteorological
Laboratory (AOML). The work will involve developing and evaluating impact
of advanced algorithms for radio occultation data assimilation to improve
numerical weather prediction.

Requirements:
• Must have a Ph.D. in Atmospheric Sciences or in a related field.
• The successful candidate should have experience with one or more of the
following: remote sensing, data assimilation, numerical weather prediction,
observational data analysis, and use of numerical model output as a means
for interpreting observation-based results.
• Strong communication and computer skills are required.

A current resume, a statement of interests, and the names of 3 people who
can provide letters of recommendation are required.

Apply online at www.miami.edu/careers
Position #: P100044725

The University of Miami is home to some of the brightest minds in the
world. We are committed to educating and nurturing students, creating
knowledge, and providing service to our community and beyond. The
University of Miami offers competitive salaries and a comprehensive
benefits package including medical and dental benefits, tuition remission,
vacation, paid holidays and much more.  The University of Miami is an Equal
Opportunity Employer - Females/Minorities/Protected Veterans/Individuals
with Disabilities are encouraged to apply. Applicants and employees are
protected from discrimination based on certain categories protected by
Federal law. Click here for additional information-

https://www.hr.miami.edu/careers/employment-laws-eo/index.html


*Karina Apodaca, PhD**.*

NOAA/AOML/Hurricane Research Division - Affiliate

karina.apodaca at noaa.gov (preferred)

*___________________*

Theoretical and Applied Data Assimilation Scientist, RSII

Colorado State University/Cooperative Institute for Research in the
Atmosphere

Foothills Campus

Fort Collins, CO 80523-1375

karina.apodaca at colostate.edu
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