[ES_JOBS_NET] Post-doctoral scholar and graduate research assistant openings, Earth System Science Interdisciplinary Center, University of Maryland College Park

Christine Wiedinmyer christin at ucar.edu
Mon Sep 19 16:51:24 MDT 2016

*Post-doctoral scholar and graduate research assistant openings: *
/Earth System Science Interdisciplinary Center, University of Maryland 
College Park

/We are seeking applicants in the area of interdisciplinary earth system 
modeling for a post-doctoral
scholar position and three graduate research assistant positions. 
Successful applicants will join NSF- and
NOAA-funded projects focused on regional earth systems modeling. Both 
projects are funded for the next
five years, and successful applicants will have uninterrupted support 
during their period of study.

_*The post-doc and two graduate positions*_ are for a new NSF project to 
build a modeling framework
(MFEW) coupling food, energy, water, and environmental change in the 
teleconnected Corn and Cotton
Belts. This project bridges the fields of climate, hydrology, 
agriculture, biogeochemistry, engineering, and
economics, and will provide opportunities for extensive 
interdisciplinary collaboration. Particular focuses
for the available positions include, but are not limited to, models 
integration and coupling, groundwater
and water quality modeling, food and bioenergy crop modeling, land and 
water resource management.

_*The third graduate position*_ is for an ongoing NOAA-funded project on 
regional climate modeling, and
focuses the understanding and prediction of atmospheric and surface 

Position Activities:
•  The post-doctoral scholar will be responsible for overall MFEW system 
simulations, and analyses. She/he will collaborate with 
interdisciplinary team members at
multiple universities to implement or couple component model formulations.
•  Graduate students, in addition to their academic course work, will be 
directly involved in model
development, simulation, data preparation, and analysis. They will 
choose their thesis research
topics in the areas listed above.
Applicant Requirements:
•  A Ph.D. (post-doctoral applicants) or B.S. (graduate applicants) in 
atmospheric, hydrologic,
agricultural sciences, applied mathematics, physics, data science, or a 
related field
•  Strong verbal and oral communication skills, and the ability to 
synthesize and integrate
information from other disciplines and areas of study
•  Post-doctoral applicants should have demonstrated proficiency and 
graduate applicants should
have interest and ability in the following areas:
o  Atmospheric, hydrologic, or crop modeling systems and data analysis
o  Programming (F90 and C are preferred) and parallel computing
o  Analytical skills, including the ability to rigorously evaluate and 
analyze observational data
and simulation results
o  Statistical and mathematic skills for evaluating model simulation 
results, uncertainty
characterization, and system optimization

Interested graduate applicants should apply to the University of 
Maryland through the department of
Atmospheric and Oceanic Science (AOSC), and contact Professor Xin-Zhong 
Liang via email:
xliang at umd.edu. Interested post-doctoral applicants should submit a CV 
and three letters of reference
(including contact information) to Professor Xin-Zhong Liang by the 
above email. Positions are available
immediately. We will continue accepting applications until the positions 
are filled, but for priority
consideration of the post-doctoral position, please submit all materials 
by October 15, 2016.
The University of Maryland, College Park, an equal 
opportunity/affirmative action employer, complies
with all applicable federal and state laws and regulations regarding 
nondiscrimination and affirmative
action; all qualified applicants will receive consideration for 
employment. The University is committed to
a policy of equal opportunity for all persons and does not discriminate 
on the basis of race, color,
religion, sex, national origin, physical or mental disability, protected 
veteran status, age, gender identity
or expression, sexual orientation, creed, marital status, political 
affiliation, personal appearance, or on
the basis of rights secured by the First Amendment, in all aspects of 
employment, educational programs
and activities, and admissions.
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