[ES_JOBS_NET] Postdoc opportunity at UConn

[Ashley My Grinstead]

A new postdoctoral researcher position available in Remote Sensing & Global
Environmental Change, at Global Environmental Remote Sensing (GERS)
Laboratory (https://lnkd.in/ebauGuCA), Department of Natural Resources and
the Environment, University of Connecticut (UConn)
Location: Storrs, CT, USA
Start Date: Flexible and the earliest date is Feb. 1st (Review of
applications begins in Dec. 20th)
Salary Range: $62,232~$70,344

The GERS Laboratory is seeking a highly motivated Postdoctoral Researcher
to lead the remote sensing component of an
NSF-funded project: "Collaborative Research: BoCP-Implementation:
Estimating the extinction risk of biodiversity with a time-based dynamic
system." This is a high-impact, interdisciplinary collaboration
between GERS Laboraroty (UConn) and Prof. S. Blair Hedges (Temple
University). The project (NSF Award, Total ~$1.95M) aims to revolutionize
how we estimate biodiversity extinction risks by integrating dense
satellite time series with biological data to model habitat dynamics over
time.

As a key member of the team, you will develop novel approaches to
map primary forests and characterize their changes at large spatial scales.
Your work will directly feed into "time-based dynamic systems" that
estimate the probability of species extinction, bridging the gap between
cutting-edge remote sensing and urgent conservation biology.

Key Responsibilities
Algorithm Development: Develop and refine algorithms for mapping primary
forests and detecting land cover changes using dense time series of
satellite data (e.g., Landsat, Sentinel-2).
Interdisciplinary Collaboration: Work closely with the biodiversity team at
Temple University to align spatiotemporal habitat data with species
distribution and extinction risk models.
Scientific Communication: Lead the preparation of high-impact peer-reviewed
manuscripts and present research findings at major international
conferences (e.g., AGU, AAG).

Qualifications
Required:
Ph.D. in Remote Sensing, Geography, Earth System Science, Computer Science,
or a related field (by the start date).
Strong expertise in time series analysis of optical satellite data
(Landsat/Sentinel).
Demonstrated experience in mapping forest monitoring (specifically primary
forest or subtle degradation is a plus).
Proficiency in programming (Python, R, or MATLAB) and geospatial data
processing.
Experience with cloud computing platforms, particularly Google Earth Engine
(GEE).
A strong publication record in top-tier remote sensing or environmental
journals.

To Apply
Please submit the following materials as a single PDF file to Dr. Zhe
Zhu at: zhe at uconn.edu, in include (i) Cover Letter (1-2 pages) describing
your research interests, qualifications and why you are interested in this
specific BoCP project. (ii) Curriculum Vitae (including a list of
publications). and (iii) Contact Information for three professional
references.

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