[ES_JOBS_NET] Postdoctoral Fellow, Connecting Cloud Models to Observations, Colorado State University

[Christine Wiedinmyer]

https://jobs.colostate.edu/postings/36154

To ensure full consideration, applications must be received by 11:59pm 
(MT) on 	07/17/2016
Description of Work Unit 	

The Cooperative Institute for Research in the Atmosphere (CIRA) at 
Colorado State University (CSU) is a multi-million dollar research 
organization located on CSU’s Foothills Campus in Fort Collins, 
Colorado.CIRAis a cooperative institute that is also a research 
department within CSU’s College of Engineering, in partnership with the 
Department of Atmospheric Science. Its vision is to conduct 
interdisciplinary research in the atmospheric sciences by entraining 
skills beyond the meteorological disciplines, exploiting advances in 
engineering and computer science, facilitating transitional activity 
between pure and applied research, leveraging both national and 
international resources and partnerships, and assistingNOAA, Colorado 
State University, the State of Colorado, and the Nation through the 
application of our research to areas of societal benefit. Expanding on 
this Vision, our Mission is to serve as a nexus for multi-disciplinary 
cooperation among CI andNOAAresearch scientists, University faculty, 
staff and students in the context ofNOAA-specified research theme areas 
in satellite applications for weather/climate forecasting. Important 
bridging elements of the CI include the communication of research 
findings to the international scientific community, transition of 
applications and capabilities toNOAAoperational users, education and 
training programs for operational user proficiency, outreach programs to 
K-12 education and the general public for environmental literacy, and 
understanding and quantifying the societal impacts ofNOAAresearch.

Position Summary 	

The Cooperative Institute for Research in the Atmosphere 
(CIRA-www.cira.colostate.edu) at Colorado State University seeks an 
individual with cloud modeling expertise to connect high spatial and 
temporal resolution observations from the upcomingGOES-R satellite with 
cloud resolving models through data assimilation or data fusion methods. 
This Postdoctoral Fellowship is a 12-month position with possibility of 
extension for an additional 2 years, and offers a flexible start date 
before October 2016. This fellowship provides the opportunity to take 
part in an active program of research related to CIRA’s work to fully 
exploitGOES-R observations for short-term forecasts of convective 
behavior and influence on the surrounding environment. The work requires 
close coordination withNOAAcollaborators atNESDISand the Earth System 
Research Laboratory in Boulder, Colorado.

CIRAresearchers have expertise in both satellite remote sensing and 
satellite data assimilation into numerical models. The individual in 
this position must be a self-motivated researcher who is interested in 
combining his/her knowledge of convective processes in cloud resolving 
models with satellite observations, and capable of initializing these 
models in new and improved ways. The individual in this fellowship will 
integrate these disciplines into a single program intended to advance 
CIRA’s basic ability to produce high-quality short-term localized 
forecasts. Assimilation cycles of 5-15minutes are envisioned for active 
convection, with downstream applications to fire weather, aviation 
weather, and land-falling tropical cyclone prediction.

The individual in this fellowship will be a member of CIRA’s 
Meteorological Satellite Applications team supporting the Regional and 
Mesoscale Meteorology Branch (RAMMB) ofNOAA/NESDIS. He/She will be 
responsible for developing and implementing ideas to bring very high 
temporal resolution data to bear on local weather forecasts.

Required Job Qualifications 	

• Ph.D. degree in Atmospheric Science or closely related discipline;
• Experience with development of convective cloud resolving models.

Preferred Job Qualifications 	

• Experience with microphysical/dynamical processes, interactions, and 
feedbacks;
• Expertise in numerical weather prediction
• Expertise in data assimilation;
• A background in geostationary satellite remote sensing and/or derived 
products;
• Experience with theWRForHRRRmodels;
• Experience working withUNIX/Linux operating systems;
• Experience working with super-computers and parallel processing;
• Experience using complex numerical weather models and large data sets;
• Knowledge of Fortran programming language (F90 and higher);
• Ability to advance a research project with little direct supervision;
• Excellent verbal and written communication skills as demonstrated in 
publications.

Diversity Statement 	

Reflecting departmental and institutional values, candidates are 
expected to have the ability to advance the Department’s commitment to 
diversity and inclusion.


      Essential Duties

Job Duty Category 	Research
Duty/Responsibility 	

• Active work on assimilating satellite data intoNOAA-developed weather 
forecast models;
• Improving the underlying cloud resolving model where necessary;
• Optimizing the observing system and the assimilated parameters for 
high space/time resolution observations;
• Assisting with application development related to short-term cloud 
predictions;
• Researching relevant science and technology.

Percentage Of Time 	90

Job Duty Category 	Dissemination of Research Results
Duty/Responsibility 	

• Publishing research results in peer-reviewed journals;
• Supporting technical presentations of related work.

Percentage Of Time 	10


      Application Details

Special Instructions to Applicants 	

NOTE: In your cover letter, please specifically address the required and 
preferred qualifications of this position. While it is not anticipated 
that any given applicant will satisfy 100% of the preferred 
qualifications, presenting your relevant experience/expertise via 
clearly articulated examples will be of great benefit to the search 
committee.

References will not be contacted without the prior notification of 
candidates.

Conditions of Employment 	Pre-employment Criminal Background Check 
(required for new hires)
Search Contact 	linn.barrett at colostate.edu
EEO Statement 	

Colorado State University is committed to providing an environment that 
is free from discrimination and harassment based on race, age, creed, 
color, religion, national origin or ancestry, sex, gender, disability, 
veteran status, genetic information, sexual orientation, gender identity 
or expression, or pregnancy and will not discharge or in any other 
manner discriminate against employees or applicants because they have 
inquired about, discussed, or disclosed their own pay or the pay of 
another employee or applicant. Colorado State University is an equal 
opportunity/equal access/affirmative action employer fully committed to 
achieving a diverse workforce and complies with all Federal and Colorado 
State laws, regulations, and executive orders regarding 
non-discrimination and affirmative action. The Office of Equal 
Opportunity is located in 101 Student Services.

Background Check Policy Statement 	

Colorado State University (CSU) strives to provide a safe study, work, 
and living environment for its faculty, staff, volunteers and students. 
To support this environment and comply with applicable laws and 
regulations,CSUconducts background checks. The type of background check 
conducted varies by position and can include, but is not limited to, 
criminal (felony and misdemeanor) history, sex offender registry, motor 
vehicle history, financial history, and/or education verification. 
Background checks will be conducted when required by law or contract and 
when, in the discretion of the university, it is reasonable and prudent 
to do so.


    References Requested


      References Requested

Minimum Requested 	3
Maximum Requested 	3


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