<div dir="ltr"><span style="font-family:arial,sans-serif;color:black">Dear All,</span><br><font color="#000000" face="arial, sans-serif"><br></font><span lang="EN" style="font-family:arial,sans-serif"><font color="#000000">The University of Minnesota - Twin Cities is recruiting
1-2 Postdoctoral Researchers and 1 Ph.D. student o</font>n remote sensing, process-based modeling, and machine learning! F<font color="#000000">unded through both federal
and industrial projects, </font></span><span lang="EN" style="font-family:arial,sans-serif">the successful
candidates will work on one of the following two topics: (1) <u>Geospatial
Artificial Intelligence</u>, with a focus on developing new algorithms for crop
classification and yield prediction base</span><span lang="EN" style="font-family:arial,sans-serif">d on multi-source satellite imagery.
This direction is open to both Postdoc and PhD students. (2) <u>Physics Guided
Machine Learning (PGML)</u>. 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 <b>Dr. Zhenong Jin </b>(</span><span lang="EN" style="font-family:arial,sans-serif;color:black"><a href="http://jinlab.bbe.umn.edu/" target="_blank"><span style="color:rgb(5,99,193)">link</span></a></span><span lang="EN" style="font-family:arial,sans-serif">) through the
Department of Bioproducts and Biosystems Engineering and collaborates closely
with <b>Dr. Vipin Kumar</b>'s group (</span><span lang="EN" style="font-family:arial,sans-serif;color:black"><a href="https://www-users.cs.umn.edu/~kumar001/" target="_blank"><span style="color:rgb(5,99,193)">link</span></a></span><span lang="EN" style="font-family:arial,sans-serif">) in the Department of Computer Science and
Engineering.</span><br><span style="font-family:arial,sans-serif"> </span><br><b style="font-family:arial,sans-serif"><span lang="EN" style="color:black">Essential
Qualifications:</span></b><br><span style="color:black;font-family:arial,sans-serif">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,</span><br><u style="font-family:arial,sans-serif"><span lang="EN" style="color:black">Postdoc and PhD
applicants for GeoAI </span></u><span lang="EN" style="font-family:arial,sans-serif;color:black">should
have demonstrated research skills and achievements in this topic, and the
followings will be considered as a plus during the review process:</span><br><span lang="EN" style="font-family:arial,sans-serif">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal">     
</span></span><span lang="EN" style="font-family:arial,sans-serif;color:black">Having
first-author publications in peer-reviewed high-impact journals.</span><br><span lang="EN" style="font-family:arial,sans-serif">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal">     
</span></span><span lang="EN" style="font-family:arial,sans-serif;color:black">Having
research experience in microwave remote sensing.</span><br><span lang="EN" style="font-family:arial,sans-serif">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal">     
</span></span><span lang="EN" style="font-family:arial,sans-serif;color:black">Having
good knowledge of deep learning.</span><br><span lang="EN" style="font-family:arial,sans-serif">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal">     
</span></span><span lang="EN" style="font-family:arial,sans-serif;color:black">Being
experienced with Google Earth Engine and remote sensing analysis.</span><br><span style="font-family:arial,sans-serif"> </span><br><u style="font-family:arial,sans-serif"><span lang="EN" style="color:black">Postdoc applicants for
PGML</span></u><span lang="EN" style="font-family:arial,sans-serif;color:black">
should have a wide range of skills related to process-based modeling and
machine learning:</span><br><span lang="EN" style="font-family:arial,sans-serif">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal">     
</span></span><span lang="EN" style="font-family:arial,sans-serif;color:black">Strong
programming experience (e.g., Python, Fortran, or C++ in the Linux environment)
and be familiar with supercomputing and/or cloud platforms;</span><br><span lang="EN" style="font-family:arial,sans-serif">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal">     
</span></span><span lang="EN" style="font-family:arial,sans-serif;color:black">Rich
experience and deep understanding of process-based models; applicants whose
past research only involves running models at site-level will not be
considered;</span><br><span lang="EN" style="font-family:arial,sans-serif">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal">     
</span></span><span lang="EN" style="font-family:arial,sans-serif;color:black">Knowledge
of machine learning <b><u>beyond</u></b>
simple tools such as Random Forest and ANN.</span><br><span style="font-family:arial,sans-serif"> </span><br><b style="font-family:arial,sans-serif"><span lang="EN" style="color:black">Starting
Date: </span></b><span lang="EN" style="font-family:arial,sans-serif;color:black">The
Postdoc position is expected to start on or before Mar 1^st, 2021;
the PhD student is expected to start no later than Fall 2021. Positions are open till filled.</span><br><span style="font-family:arial,sans-serif"> </span><br><p style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt"><font face="arial, sans-serif"><b><span lang="EN" style="color:black">Application
Process:</span></b><span lang="EN" style="color:black">
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<b> (</b></span><b><span lang="EN" style="color:rgb(17,85,204)"><a href="mailto:jinzn@umn.edu" target="_blank">jinzn@umn.edu</a></span></b><b><span lang="EN" style="color:black">)</span></b><span lang="EN" style="color:black">. 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.</span></font></p>

































<p style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt"><span lang="EN" style="font-family:"Times New Roman",serif;font-size:11pt;font-size:11pt"></span></p><p style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:11pt;font-family:Arial,sans-serif"><span lang="EN" style="font-family:"Times New Roman",serif;color:black"><br></span></p><p style="line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:11pt;font-family:Arial,sans-serif"><span lang="EN" style="font-family:"Times New Roman",serif;color:black">Best,</span></p>

<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:115%;font-size:11pt;font-family:Arial,sans-serif"><br></p>-- <br><div dir="ltr" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr">Zhenong Jin<div dir="ltr">Assistant Professor<br>University of Minnesota - Twin Cities<br>Department of Bioproducts and Biosystems Engineering</div><div dir="ltr">Institute on the Environment Associates<br></div><div dir="ltr"><a href="http://jinlab.bbe.umn.edu/" target="_blank">http://jinlab.bbe.umn.edu/</a></div></div></div></div></div></div>