Dear Colleagues,
We are looking to recruit a postdoctoral researcher to support crop
modeling activities under USDA-NIFA Sustainable Agricultural Systems funded
project. The modeling portion of the project focuses on developing
in-season crop forecasting tools, and scaling field studies to a large
regional scale to evaluate sustainable agricultural practices under
different climatic conditions. We are seeking a potential candidate with
expertise in process-based crop modeling, uncertainty characterization and
statistical downscaling. Application is here:
https://ejobs.umd.edu/postings/94211 .
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 the USDA-NIFA
funded project. The primary activities under this position include
developing pre-season and in-season decision support tools (e.g. in-season
nitrogen recommendation tool) using process-based crop models and remote
sensing; and evaluating, improving and implementing process-based crop
models to simulate the impacts of climate change and adaptation strategies.
We are seeking a potential candidate with expertise in process-based crop
modeling, uncertainty characterization and statistical downscaling. The
successful candidate will closely collaborate with a multidisciplinary
team, and he/she 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), APSIM or equivalent,
and have hands-on experience in multivariate statistics. 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 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 April
8th 2022, but the search will continue until a suitable candidate is
appointed. Due to covid situation, preference will be given to the
candidates in the U.S with citizenship/green card/OPT. To Apply:
https://ejobs.umd.edu/postings/94211 .  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