[ES_JOBS_NET] Postdoc in agroecosystem modeling at University of Minnesota

[Zhenong Jin]

 <es_jobs_net at mailman.ucar.edu>
The Digital Agricultural Group at University of Minnesota-Twin Cities is
recruiting one Postdoc with a background in process-based crop modeling
and/or deep learning! Funded through a few federal and industrial projects,
the successful candidates will work on one of the following two topics: (1)
Modeling the Agroecosystem, with a focus on assessing the impacts of
climate change on crop yield and risks, nutrient management, and cropland
carbon intensity. (2) Physics Guided Machine Learning (PGML). This novel
framework combines process-based models with start-of-the-art machine
learning techniques to leverage their complementary strengths. This
direction will focus on modeling carbon and nutrient cycles throughout the
agroecosystems. The successful candidate will be supervised by Dr. Zhenong
Jin (link <http://jinlab.bbe.umn.edu/research>) through the Department of
Bioproducts and Biosystems Engineering and work closely with diverse
academic and industry collaborators.

*Essential Qualifications:*

All applicants are expected to have a strong quantitative background, and
graduate from quantitative majors such as earth and atmospheric science,
hydrology, ecology, environmental science, math, and statistics, or any
other closely related fields. In addition,

●      Strong programming experience (e.g., Python, Fortran, or C++ in the
Linux environment) and be familiar with supercomputing and/or cloud
platforms;
●      Rich experience and deep understanding of process-based models;
applicants whose past research only involves running models at site-level
will not be considered;
●      Knowledge of machine learning *beyond* simple tools such as Random
Forest and ANN.



*Additional Qualifications*

●      Within three years of receiving the Ph.D. degree.

●      Strong skill in data visualization.



*Starting Date*
The position is expected to start on or before Aug 1st, 2021. The position
is open till filled.



*Application Process*

Applicants should send a short introduction email, including a CV and a
sample publication to jinzn at umn.edu. Qualified applicants will be
immediately reviewed upon receiving the application while the search may
continue until the position is filled. Due to time constraints, we only
give feedback to those candidates who we plan to interview. For further
questions, please feel free to reach out to us.


*About the Lab*

We are a group of people who are passionate about use-inspired research
that integrates multiple disciplines to advance the science that guides
sustainable and precision agricultural management. With funding support
from NSF, DOE, NASA, FFAR and etc, our group members spread across the
spectrum of process-based modeling, data-model fusion, and algorithm
development for remote sensing. We look forward to having you join us and
tackle big challenges with innovations!


-- 
Zhenong Jin
Assistant Professor
University of Minnesota - Twin Cities
Department of Bioproducts and Biosystems Engineering
Institute on the Environment Associates
http://jinlab.bbe.umn.edu/
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