<div dir="ltr"><a href="mailto:es_jobs_net@mailman.ucar.edu" style="font-family:Times;font-size:medium" target="_blank"></a><div><span style="font-family:arial,sans-serif">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 (</span><a href="http://jinlab.bbe.umn.edu/research" style="font-family:arial,sans-serif" target="_blank">link</a><span style="font-family:arial,sans-serif">) through the Department of Bioproducts and Biosystems Engineering and </span>work<span style="font-family:arial,sans-serif"> closely with diverse academic and industry collaborators.</span><br></div><div><font face="arial, sans-serif"><br></font></div><div><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"><u><font face="arial, sans-serif"><span lang="EN" style="color:black">Essential Qualifications:</span></font></u></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 style="color:black"><font face="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,</font></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 face="arial, sans-serif"><span lang="EN"></span></font></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><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></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"><font face="arial, sans-serif"> </font></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 face="arial, sans-serif"><span lang="EN" style="color:black"><u>Additional Qualifications</u></span></font></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><span lang="EN">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal">
</span></span><span lang="EN" style="color:black">Within three years of receiving the Ph.D. degree.</span><span lang="EN"></span></font></p>
<p class="MsoNormal" style="margin:0in 0in 0.0001pt 0.5in;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><span lang="EN">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal">
</span></span><span lang="EN" style="color:black">Strong skill in data visualization.</span><span lang="EN"></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"><font face="arial, sans-serif"> </font></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 face="arial, sans-serif"><span lang="EN" style="color:black"><u>Starting Date</u><br></span><span style="color:black">The position is
expected to start on or before Aug 1</span><sup style="color:black">st</sup><span style="color:black">, 2021. The position is open
till filled.</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"><font face="arial, sans-serif"><span lang="EN"></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"><font face="arial, sans-serif"> </font></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"><u><font face="arial, sans-serif"><span lang="EN" style="color:black">Application Process</span></font></u></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 face="arial, sans-serif"><span lang="EN" style="color:black">Applicants should send a short introduction email, including a CV and a sample publication to
</span><span lang="EN" style="color:rgb(17,85,204)"><a href="mailto:jinzn@umn.edu" target="_blank">jinzn@umn.edu</a></span><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. Due to time constraints, we only
give feedback to those candidates who we plan to interview. For further
questions, please fee</span><span style="color:black">l free to reach out to us</span><span lang="EN" style="color:black">.</span><span lang="EN" style="font-size:12pt"></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"><font face="arial, sans-serif"><span lang="EN" style="color:black"><br></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"><u>About the Lab</u></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">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!<font face="arial, sans-serif"><span lang="EN" style="color:black"><br></span></font></p><div><font face="arial, sans-serif"><br clear="all"></font><div><br></div>-- <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></div></div>