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Subject:
From:
Varaprasad Bandaru <[log in to unmask]>
Date:
Fri, 5 Nov 2021 13:16:30 -0400
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Hi All,
Looking for a Post-Doctoral Research Associate to work on a recently funded
project by NASA Carbon Monitoring System Program (https://carbon.nasa.gov/)
. The successful candidate will work on modeling cropland carbon and
nitrogen fluxes at a large regional scale. The position will provide a
great opportunity to closely collaborate with researchers from USDA-ARS,
NASA, Agriculture and Agri-Food Canada and Universities. The application is
here: https://ejobs.umd.edu/postings/89835 .
Thank you
Prasad.

*Post-doctoral Research Associate- Process based Crop Modeling*

*Department of Geographical Sciences*

*University of Maryland*



The Department of Geographical Sciences at University of Maryland, College
Park, is seeking a Professional Track Research Faculty Member at the
Post-Doctorate Associate rank. Salary and benefits are highly competitive.
The researcher will contribute to research activities under a NASA funded
project. The project’s primary goal is to improve the existing crop
modeling system and implement at a large regional scale to estimate carbon
and nitrogen fluxes in agricultural lands. We are seeking a potential
candidate with expertise in process-based crop modeling and data
assimilation. The successful candidate will closely collaborate with a
multidisciplinary team, and he will involve in field data collection, model
calibration and configuration, model implementation and uncertainty
quantification. The incumbent will communicate with stakeholders involved
in the project, and present outcomes of the project at scientific
conferences and meetings, as well as write reports and publications.

*Minimum Qualifications and Required Skills*

Applicants should have a Ph.D. or equivalent in agricultural engineering,
soil science, terrestrial ecology, or climate sciences. Candidates must
have demonstrated experience in using and improving process-based crop
models such as Environmental Policy Integrated Climate (EPIC), Decision
Support System for Agrotechnology Transfer (DSSAT), DayCENT or equivalent,
and have hands-on experience in data assimilation techniques. Experience
and skills in programming languages (e.g. Fortran, C++ and Python/R) and
analytical skills in model evaluation are strongly preferred.

Applications should include a personal statement of background and
experience relevant to the position, including research, teaching and
service activities, a signed, dated Curriculum Vitae, 2-5 reprints of
selected peer-reviewed publications , and names and addresses (including
e-mail) of 3-5 references.

For best consideration applications should be submitted no later than
November 20th 2021, but the search will continue until a suitable candidate
is appointed. To Apply: https://ejobs.umd.edu/postings/89835.
For questions about the position, please contact Varaprasad Bandaru,
Associate Research Professor, at [log in to unmask] Further information on
this position and on academic and research programs of the Department can
be found at http://www.geog.umd.edu  Applications from women and minorities
are particularly sought.



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.
-- 
Varaprasad (Prasad) Bandaru
<https://geog.umd.edu/facultyprofile/Bandaru/Varaprasad>
Associate Research Professor
Department of Geographical Sciences
University of Maryland, College Park, MD
Ph: 301.405.3074


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