[ES_JOBS_NET] Postdoc and PhD positions on Physics Guided Machine Learning and GeoAI at University of Minnesota - Twin Cities

[Jin]

Dear All,

The University of Minnesota - Twin Cities is recruiting 1-2 Postdoctoral
Researchers and 1 Ph.D. student on remote sensing, process-based modeling,
and machine learning! Funded through both federal and industrial projects, the
successful candidates will work on one of the following two topics:
(1) *Geospatial
Artificial Intelligence*, with a focus on developing new algorithms for
crop classification and yield prediction based on multi-source satellite
imagery. This direction is open to both Postdoc and PhD students. (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 agroecosystem, and is
only open to Postdocs. The successful candidate will be supervised by *Dr.
Zhenong Jin *(link <http://jinlab.bbe.umn.edu/>) through the Department of
Bioproducts and Biosystems Engineering and collaborates closely with *Dr.
Vipin Kumar*'s group (link <https://www-users.cs.umn.edu/~kumar001/>) in
the Department of Computer Science and Engineering.

*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,
*Postdoc and PhD applicants for GeoAI *should have demonstrated research
skills and achievements in this topic, and the followings will be
considered as a plus during the review process:
●      Having first-author publications in peer-reviewed high-impact
journals.
●      Having research experience in microwave remote sensing.
●      Having good knowledge of deep learning.
●      Being experienced with Google Earth Engine and remote sensing
analysis.

*Postdoc applicants for PGML* should have a wide range of skills related to
process-based modeling and machine learning:
●      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.

*Starting Date: *The Postdoc position is expected to start on or before Mar
1st, 2021; the PhD student is expected to start no later than Fall 2021.
Positions are open till filled.


*Application Process:* Qualified candidates must send a short introduction
email, including CV, TOFEL/GRE score (PhD applicants only) and contact
information of three references to Dr. Zhenong Jin* (**jinzn at umn.edu
<jinzn at umn.edu>**)*. Qualified applicants will be immediately reviewed upon
receiving the application while the search may continue until the position
is filled. We will only give feedback to those candidates that we plan to
interview. For further questions, please contact Dr. Zhenong Jin.


Best,


-- 
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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