[ES_JOBS_NET] Inverse Modeling/Data Assimilation Project Scientist I, NCAR, Colorado
Christine Wiedinmyer
christin at ucar.edu
Thu Jun 15 08:23:04 MDT 2017
*Inverse Modeling/Data Assimilation Project Scientist I*
*http://tinyurl.com/yb9mk85k*
**
This is a full-time position.
NCAR – Research Applications Laboratory (RAL) – National Security
Applications Program (NSAP)
Partial relocation costs paid per UCAR’s relocation policy.
UCAR/NCAR will sponsor a work visa to fill this position.
*Overview – “Where You Will Work”*
Located in Boulder, Colorado, the National Center for Atmospheric
Research (NCAR) is one of the world’s premier scientific
institutions, with an internationally recognized staff and research
program dedicated to advancing knowledge, providing community-based
resources, and building human capacity in the atmospheric and
related sciences.
*Position Details – “What You Will Do”*
NCAR is searching for a Project Scientist I who will be involved
with both independent and collaborative research related to source
term estimation (STE) methods and atmospheric transport and
dispersion (AT&D) models for selected emission scenarios. The
candidate will compile meteorological input datasets, run
simulations with the specified STE methods and AT&D models, and
perform statistical analysis of the output. Measurement
requirements for satisfactory performance of each simulation will
also be investigated to quantify the accuracy, uncertainty, and
applicability of each STE/AT&D combination for the given emission
scenarios. The scientist will also conduct research and development
in a team environment in weather and chemical data assimilation,
modeling, and forecasting at regional and finer scales.
* Performs high-quality research on the comparison of STE methods
and AT&D models for selected emission scenarios. This work
includes the following:
o Compiling observational datasets and working with the
project team on development of synthetic datasets for
emission scenarios
o Running simulations with various STE methods and AT&D models
o Statistical analysis of the STE/AT&D output to determine
applicability of each method and observational requirements
for satisfactory results
* Publishes results in conference proceedings and peer-reviewed
journals and participates in national and international meetings
on a regular basis.
Participates in meetings with sponsors (in-person and remote) as
needed. Writes project reports as required by research contracts.
* May investigate new opportunities for funding and contribute to
the preparation of proposals; may serve as Principal
Investigator or Co-Principal Investigator on funded proposals.
* Maintains knowledge of current developments in topics of
relevance to research projects, conducts reviews of papers for
scientific journals, and may serve
on professional committees.
*Decision Making & Problem Solving*
* In close consultation with a research team, candidate helps
define the specific research tasks to be conducted as part of
the project. Provides input/makes recommendations for project
leaders’ decisions in areas such as project design, major
purchases, and new hires. Makes some independent decisions on
staffing allocations.
* Solve problems that may arise in the course of completing
research plan. Work independently to solve these problems;
establish schedules to meet deadlines as needed by supervisor.
Obtain guidance when she/he cannot make a decision or solve a
problem independently.
**
*Minimum Job Requirements – “What You Need”*
* PhD degree in Meteorology, Atmospheric Science, or closely
related disciplines
* Well-developed experience in STE, AT&D, and atmospheric
composition modeling
* Demonstrated record of research and publication
* Advanced knowledge and skill in solving inverse problems and
source term estimation methods and in one or more of the
following areas:
o Variational approaches
o Ensemble-based algorithms
o Hybrid variational-ensemble methods
o Bayesian inference and stochastic sampling procedures
o Artificial Neural networks
o Genetic Algorithms
* Demonstrated skill and familiarity in weather or chemical data
assimilation
* Demonstrated skill and familiarity with one or more of the
following atmospheric transport and dispersion models:
o AERMOD
o SCIPUFF
o Lagrangian particle models
* Skill and familiarity in air quality modeling (WRF-Chem or similar)
* Demonstrated skill and familiarity with satellite data assimilation
* Skill in, and familiarity with, the planning, design, and
execution of field campaigns
* Demonstrated skills in statistical analysis
* Demonstrated skills in scientific programming
* Familiarity with the atmospheric boundary layer physical and
chemical processes
* Strong written and oral communication skills
* Ability to prioritize, organize, and follow through on tasks
**
*Desired Skills*
* Post-doctoral experience is highly desirable
**
The University Corporation for Atmospheric Research (UCAR) is an
equal opportunity/equal access/affirmative action employer that
strives to develop and maintain a diverse workforce. UCAR is
committed to providing equal opportunity for all employees and
applicants for employment and does not discriminate on the basis of
race, age, creed, color, religion, national origin or ancestry, sex,
gender, disability, veteran status, genetic information, sexual
orientation, gender identity or expression, or pregnancy.
Whatever your intersection of identities, you are welcome at the
University Corporation for Atmospheric Research (UCAR). We are
committed to inclusivity and promoting an equitable environment that
values and respects the uniqueness of all members of our organization.
Job Location
Boulder, Colorado, United States
Position Type
Full-Time/Regular
Appointment Type
Regular, Full-Time (R1)
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