[ES_JOBS_NET] PhD & Postdoc in Geospatial Data Science and Human Dimensions of Global Change

[Jing Gao]

*Funded PhD and Postdoc positions at the University of Delaware*

The Gao Lab in Geospatial Data Science and Human Dimensions of Global
Change at the University of Delaware <https://www.udel.edu/> invites
applications for PhD and Postdoc positions. We are a growing
interdisciplinary team led by Dr. Jing Gao
<https://www.linkedin.com/in/jing-gao-geography> currently consisting of
four graduate students and two undergraduate interns. Our work spans three
research directions as listed below. We look for self-motivated researchers
in any of these directions or their intersections. The positions come with
competitive funding packages and a wide range of collaboration
opportunities within and beyond the university.

·       Spatiotemporal modeling of socioeconomic processes (e.g. mapping
population characteristics)

·       Data-driven investigations of socio-environmental dynamics (e.g.
interactions between climate change and global urbanization)

·       Machine learning tool development for geospatial data analytics
(e.g. uncertainty quantification)

Ideal candidates have a solid background in quantitative and computational
methods (e.g., spatial analysis and modeling, geo-computation, machine
learning, statistics), excellent written and verbal communication skills,
and strong work ethics. Prior research experience in geography, earth
system science, environmental science, or interdisciplinary teamwork are
highly valued.

For PhD students, funding can take the form of research assistantship (RA),
teaching assistantship (TA), or fellowship. Depending on research focus,
students can be housed in the Department of Geography and Spatial Sciences
<https://www.udel.edu/academics/colleges/ceoe/departments/gss/> (for PhD in
Geography, or PhD in Climatology), the Department of Civil and
Environmental Engineering <https://ce.udel.edu/> (for PhD in Environmental
Engineering), or the Department of Computer and Information Sciences
<https://www.cis.udel.edu/> (for PhD in Computer Science). Co-advising is
possible and often encouraged for multidisciplinary students. Applicants
should indicate their interests to Dr. Jing Gao (jinggao at udel.edu) before
applying, by emailing a CV, unofficial transcripts, and a short research
statement connecting existing experiences and skillsets with future plans,
which will be reviewed as they arrive. For starting in Fall 2021, priority
consideration for admission and funding will be given to applications
received by January 5, 2021, and shortlisted candidates will be contacted
for a virtual interview before January 12, 2021. Here
<https://www.udel.edu/academics/colleges/grad/prospective-students/grad-admissions/>
are
instructions on the formal application process. The different programs can
have different requirements.

For postdoc fellows, the position is initially being recruited for one year
with the possibility to extend pending on satisfactory performance and
funding availability. The formal start date for 2021 is negotiable, while
applicants should have received their PhD in related fields before formally
starting. To apply, email Dr. Jing Gao (jinggao at udel.edu) a CV, a research
plan, contact information for three references, and a cover letter
highlighting demonstrated abilities for conducting and publishing the
proposed work. Review will be done on a rolling basis, while the first
round will take place on January 5, 2021, and shortlisted candidates will
be contacted for a virtual interview before January 12, 2021.

The University of Delaware is an Equal Opportunity Employer. Women,
underrepresented minorities, and individuals with disabilities are strongly
encouraged to apply.

The University of Delaware is a very high research activity (R1) university
and ranks among the top 100 universities in federal R&D support for science
and engineering.

Newark, Delaware is a quiet college town on the mid-Atlantic coast of the
U.S. within 2 hours of travel to New York City, Philadelphia, Baltimore,
and Washington, D.C.
--
Jing Gao, Ph.D.
Assistant Professor of Geospatial Data Science
Geography | Data Science | Civil & Environmental Engineering
University of Delaware, Newark, DE 19716, USA
*Linkedin* <https://www.linkedin.com/in/jing-gao-geography> | *Twitter
<https://twitter.com/JingGao_geo>* | *Datasets
<https://dataverse.harvard.edu/dataverse/geospatial_human_dimensions_data>*
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