<div dir="ltr"><p class="MsoNormal" style="margin:0in 0in 6pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt"><font color="#000000" style="" face="times new roman, serif"><span lang="EN" style="">The</span> Digital
Agricultural Group<span lang="EN" style="">
at University of Minnesota-Twin Cities has
<b>two postdoc </b>positions<b> </b>open for candidates to
work on hybrid AI modeling! </span><span style="font-size:11pt">Leveraging
the recent AI boom to substantially improve Earth System Prediction is a
paradigm-shift topic in the coming decade. In particular, </span><b style="font-size:11pt"><span lang="EN" style="">Knowledge Guided Machine Learning (KGML)</span></b><span style="font-size:11pt"> is a hybrid modeling approach that </span><span lang="EN" style="font-size:11pt">combines physical/biogeochemical models with AI
algorithms and has demonstrated great potential in several geoscience
disciplines. We would like to develop and apply this approach to enhance the
modeling of a range of processes related to agroecosystem sustainability, with
a focus on managing greenhouse gases (GHGs) emissions and reactive nitrogen (N)
and phosphorus (P) losses, and their impact on the air and water quality of the earth system. We would also like to develop
methods to assimilate diverse data (e.g. those from remote sensing, low-cost sensors) into
hybrid models and significantly improve the ability to predict complex interconnected
processes.</span></font></p><p class="MsoNormal" style="margin:0in 0in 6pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt"><font color="#000000" face="times new roman, serif"></font></p>
<p class="MsoNormal" 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 color="#000000" face="times new roman, serif"><span style="font-size:14.6667px">This post is looking for candidates to work on </span><b style="font-size:14.6667px">AI for Agriculture and Earth System Modeling</b><span style="font-size:14.6667px">. </span>Successful applicants
will be supervised by Dr. Zhenong Jin<b> </b>(<span lang="EN" style=""><a href="http://jinlab.bbe.umn.edu/"><span lang="EN-US" style="">http://jinlab.bbe.umn.edu/</span></a></span>) through the College of Food,
Agricultural, and Natural Resource Sciences and work closely with diverse academic
and industrial collaborators.</font></p>
<p class="MsoNormal" 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 color="#000000" face="times new roman, serif"> <span lang="EN"></span></font></p>
<p class="MsoNormal" 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 color="#000000" face="times new roman, serif"><b><span lang="EN" style="">Essential Qualifications:</span></b><u><span lang="EN" style=""></span></u></font></p>
<p class="MsoNormal" 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 color="#000000" face="times new roman, serif"><span lang="EN" style="">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. Successful candidates will need to meet one or more of the following
expectations:</span><span lang="EN" style=""></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-size:11pt"><font color="#000000" face="times new roman, serif"><span lang="EN" style="">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal">
</span></span><span lang="EN" style="">Strong
programming experience (e.g., Python, Fortran, or C++) and be familiar with
supercomputing and/or cloud platforms;</span><span lang="EN" style=""></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-size:11pt"><font color="#000000" face="times new roman, serif"><span lang="EN" style="">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal">
</span></span><span lang="EN" style="">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><span lang="EN" style=""></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-size:11pt"><font color="#000000" face="times new roman, serif"><span lang="EN" style="">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal">
</span></span><span lang="EN" style="">Knowledge
of machine learning <b><u>beyond</u></b>
simple tools such as Random Forest and ANN.</span><span lang="EN" style=""></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-size:11pt"><font color="#000000" face="times new roman, serif"><span lang="EN" style="">●<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal">
</span></span><span lang="EN" style="">Strong
skill in data visualization.</span><span lang="EN" style=""></span></font></p>
<p class="MsoNormal" 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"><span lang="EN" style=""><font color="#000000" face="times new roman, serif"> </font></span></p>
<p class="MsoNormal" 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 color="#000000" face="times new roman, serif"><b><span lang="EN" style="">Logistics: </span></b><span lang="EN" style="">The positions are expected to start in Spring 2022.
The positions are open till filled. A competitive salary will be provided based
on experience. The positions have a funding commitment for two years, with
possibilities for renewal or promotion upon annual performance.</span><span lang="EN" style=""></span></font></p>
<p class="MsoNormal" 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"><span lang="EN" style=""><font color="#000000" face="times new roman, serif"> </font></span></p>
<p class="MsoNormal" 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 color="#000000" face="times new roman, serif"><b><span lang="EN" style="">Application Process:</span></b><span lang="EN" style=""> Qualified candidates must send a short
introduction email and CV to Dr. Zhenong Jin<b> (</b></span><b><span lang="EN" style=""><a href="mailto:jinzn@umn.edu">jinzn@umn.edu</a></span></b><b><span lang="EN" style="">)</span></b><span lang="EN" style="">. Qualified applicants
will be immediately reviewed upon receiving the application. For further
questions related to the application, please fee</span>l free to reach out to us<span lang="EN" style="">.</span><span lang="EN" style=""></span></font></p>
<p class="MsoNormal" 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"><span lang="EN" style=""><font color="#000000" face="times new roman, serif"> </font></span></p>
<p class="MsoNormal" 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 color="#000000" style="" face="times new roman, serif"><b style=""><span lang="EN" style="">About the Lab: </span></b><span lang="EN" style="">We are a fast-growing
group </span><span style="font-size:14.6667px">dedicated to advancing science and technology for achieving food security and environmental sustainability</span>. We have rich resources
from industry partners and sufficient funding support from a list of federal agencies to explore
interest-driven research questions. <span lang="EN" style="font-size:14.6667px">O</span><span style="font-size:14.6667px">ur group members spread across the spectrum of process-based modeling, data-model fusion, and algorithm development for remote sensing. </span><span style="font-size:11pt">We look forward to having you join us and tackle
big challenges with innovation!</span></font></p><p class="MsoNormal" 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 style="font-family:"Times New Roman",serif"></span></p><div><br></div>-- <br><div dir="ltr" class="gmail_signature" 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>