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<font color="4D4F5E"><font face="ARIAL"><b>Post-doctoral scholar and
graduate research assistant openings: </b><br>
<i>Earth System Science Interdisciplinary Center, University of
Maryland College Park <br>
<br>
</i>We are seeking applicants in the area of interdisciplinary
earth system modeling for a post-doctoral <br>
scholar position and three graduate research assistant
positions. Successful applicants will join NSF- and <br>
NOAA-funded projects focused on regional earth systems modeling.
Both projects are funded for the next <br>
five years, and successful applicants will have uninterrupted
support during their period of study. <br>
<br>
<u><b>The post-doc and two graduate positions</b></u> are for a
new NSF project to build a modeling framework <br>
(MFEW) coupling food, energy, water, and environmental change in
the teleconnected Corn and Cotton <br>
Belts. This project bridges the fields of climate, hydrology,
agriculture, biogeochemistry, engineering, and <br>
economics, and will provide opportunities for extensive
interdisciplinary collaboration. Particular focuses <br>
for the available positions include, but are not limited to,
models integration and coupling, groundwater <br>
and water quality modeling, food and bioenergy crop modeling,
land and water resource management. <br>
<br>
<u><b>The third graduate position</b></u> is for an ongoing
NOAA-funded project on regional climate modeling, and <br>
focuses the understanding and prediction of atmospheric and
surface processes. <br>
<br>
Position Activities: <br>
• The post-doctoral scholar will be responsible for overall
MFEW system development, <br>
simulations, and analyses. She/he will collaborate with
interdisciplinary team members at <br>
multiple universities to implement or couple component model
formulations. <br>
• Graduate students, in addition to their academic course work,
will be directly involved in model <br>
development, simulation, data preparation, and analysis. They
will choose their thesis research <br>
topics in the areas listed above. <br>
Applicant Requirements: <br>
• A Ph.D. (post-doctoral applicants) or B.S. (graduate
applicants) in atmospheric, hydrologic, <br>
agricultural sciences, applied mathematics, physics, data
science, or a related field <br>
• Strong verbal and oral communication skills, and the ability
to synthesize and integrate <br>
information from other disciplines and areas of study <br>
• Post-doctoral applicants should have demonstrated proficiency
and graduate applicants should <br>
have interest and ability in the following areas: <br>
o Atmospheric, hydrologic, or crop modeling systems and data
analysis <br>
o Programming (F90 and C are preferred) and parallel computing
<br>
o Analytical skills, including the ability to rigorously
evaluate and analyze observational data <br>
and simulation results <br>
o Statistical and mathematic skills for evaluating model
simulation results, uncertainty <br>
characterization, and system optimization <br>
<br>
Interested graduate applicants should apply to the University of
Maryland through the department of <br>
Atmospheric and Oceanic Science (AOSC), and contact Professor
Xin-Zhong Liang via email: <br>
<a class="moz-txt-link-abbreviated" href="mailto:xliang@umd.edu">xliang@umd.edu</a>. Interested post-doctoral applicants should
submit a CV and three letters of reference <br>
(including contact information) to Professor Xin-Zhong Liang by
the above email. Positions are available <br>
immediately. We will continue accepting applications until the
positions are filled, but for priority <br>
consideration of the post-doctoral position, please submit all
materials by October 15, 2016. <br>
The University of Maryland, College Park, an equal
opportunity/affirmative action employer, complies <br>
with all applicable federal and state laws and regulations
regarding nondiscrimination and affirmative <br>
action; all qualified applicants will receive consideration for
employment. The University is committed to <br>
a policy of equal opportunity for all persons and does not
discriminate on the basis of race, color, <br>
religion, sex, national origin, physical or mental disability,
protected veteran status, age, gender identity <br>
or expression, sexual orientation, creed, marital status,
political affiliation, personal appearance, or on <br>
the basis of rights secured by the First Amendment, in all
aspects of employment, educational programs <br>
and activities, and admissions. <br>
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