<div dir="ltr"><p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><b>Funded PhD Position: Spatial
Analysis & Modeling of Urban Land Patterns for Climate Resilience</b></p>

<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif">Applications are invited for one PhD research assistant (RA)
position (starting Fall 2023) in the <a href="https://www.udel.edu/academics/colleges/ceoe/departments/gss/" style="color:rgb(5,99,193)">Department
of Geography and Spatial Sciences</a> at the <a href="https://www.udel.edu" style="color:rgb(5,99,193)">University
of Delaware</a>, to work on an interdisciplinary project examining spatial urban
land patterns resilient to future climate disasters. The goal is to identify
and model regional-scale spatial urban land patterns that can yield long-term
climate resilience. The RA will quantify spatial pattern characteristics of
urban areas across the U.S., investigate associations between spatial urban
land patterns and urban exposures to climate disasters, and simulate alternative
urban land pattern scenarios using spatial optimization and data science
methods. The RA will collaborate in generating publications intended for broad
audiences. The position offers a competitive stipend, a tuition waiver, and
subsidized health insurance.<span style="color:red"></span></p>

<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><b>Qualifications:</b> Ideal candidates have a Master’s
degree in a related field, with:</p>

<p class="gmail-MsoListParagraphCxSpFirst" style="margin:0in 0in 0.0001pt 0.5in;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Symbol">·<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      
</span></span>solid backgrounds in geospatial quantitative and
computational methods (e.g., spatial analysis and modeling, geo-computation, spatial
statistics)</p>

<p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.5in;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Symbol">·<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      
</span></span>proficiency with one or more scientific programming
language (e.g., Python, R)</p>

<p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.5in;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Symbol">·<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      
</span></span>attention to detail with data handling and
analyses</p>

<p class="gmail-MsoListParagraphCxSpMiddle" style="margin:0in 0in 0.0001pt 0.5in;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Symbol">·<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      
</span></span>excellent written and oral communication skills</p>

<p class="gmail-MsoListParagraphCxSpLast" style="margin:0in 0in 8pt 0.5in;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Symbol">·<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">      
</span></span>strong motivation and work ethics</p>

<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif">Prior research experience in land cover land use science, spatial
optimization, big raster data analytics, geospatial data science, and/or interdisciplinary
teamwork are highly valued.</p>

<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><b>About Us:</b> The
student will join the Geospatial Data Science and Human Dimensions of Global
Change lab led by Dr. <a href="https://www.linkedin.com/in/JingGaoGEO" style="color:rgb(5,99,193)">Jing Gao</a>.
We are a growing interdisciplinary research team affiliated with the <a href="https://www.udel.edu/academics/colleges/ceoe/departments/gss/" style="color:rgb(5,99,193)">Department
of Geography and Spatial Sciences</a>, the <a href="https://dsi.udel.edu/" style="color:rgb(5,99,193)">Data
Science</a><span class="gmail-MsoHyperlink" style="color:rgb(5,99,193);text-decoration-line:underline"> Institute</span>, the <a href="https://www.cis.udel.edu/" style="color:rgb(5,99,193)">Department of Computer and Information
Sciences</a>, and the <a href="https://ce.udel.edu/" style="color:rgb(5,99,193)">Department of Civil and
Environmental Engineering</a>. Our students are encouraged to pursue multidisciplinary
coursework and engage with diverse interdisciplinary experts.</p>

<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif">The Department of Geography and Spatial Sciences offers nationally
and internationally recognized Ph.D. programs in both Climatology and
Geography, and a graduate-level certificate in Geographic Information Science. </p>

<p class="MsoNormal" style="margin:0in 0in 6pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif">The University of Delaware is a
tier-1 research university and ranks among the top 100 universities in federal
R&D support for science and engineering.</p>

<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif">Newark, Delaware is a college town on the mid-Atlantic coast
of the U.S. within 2 hours of travel to Philadelphia, Baltimore, Washington D.C.,
and New York City.</p>

<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><b>Application:</b> Applicants should email Dr. Jing Gao (<a href="mailto:jinggao@udel.edu" style="color:rgb(5,99,193)">jinggao@udel.edu</a>) a CV, unofficial transcripts,
and a one-page research statement connecting existing experiences and skillsets
with future research plans. Applications will be reviewed continuously as they
arrive. Shortlisted candidates will be contacted and interviewed virtually in a
timely manner.</p>

<p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif">The University of Delaware is an Equal Opportunity Employer.
Individuals from all backgrounds are strongly encouraged to apply.</p><p class="MsoNormal" style="margin:0in 0in 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><br></p><div>--</div><div>Jing Gao, Ph.D.</div><div>Geography | Data Science | Computer Science | Environmental Engineering<br></div><div>University of Delaware, Newark, DE 19716, USA</div><div><b><a href="https://www.linkedin.com/in/JingGaoGEO" target="_blank"><font color="#3d85c6">Linkedin</font></a></b> | <b><a href="https://twitter.com/JingGaoGEO" target="_blank"><font color="#3d85c6">Twitter</font></a></b> | <b><a href="https://dataverse.harvard.edu/dataverse/geospatial_human_dimensions_data" target="_blank"><font color="#3d85c6">Datasets</font></a></b></div></div>