[ES_JOBS_NET] Postdoctoral Scholar Integrating Remote Sensing and Modeling of Wildfire Risk

[Cochrane, Mark]

*University of Maryland Center for Environmental Science – Appalachian Lab
*

*Postdoctoral Scholar Integrating Remote Sensing and Modeling of Wildfire
Risk*


*Start Date:* Flexible - as early as March 2026, ideally no later than May
2026

*Review of applications begins:* March 1, 2026

*Position Details:* A two-year NASA-funded postdoctoral position is
available in Dr. Mark Cochrane’s global ecology lab (
https://www.umces.edu/mark-cochrane) at the University of Maryland Center
for Environmental Science – Appalachian Lab (AL). The postdoc will join an
interdisciplinary project designed to provide fundamental understanding of
the changing role of wildfire as climate change alters fire regimes across
the United States. The postdoc will lead the integration of remote sensing
and modeling methods to define and characterize altered fire regimes and
Regional Extreme Wildfire Events (REWEs) across the United States. The
position is ideally suited to researchers with an interest in developing
decision support tools from multiple remote sensing data with model outputs
and other geospatial data.



The postdoctoral researcher will be based with Drs W. Matt Jolly and
Patrick Freeborn at the USFS Missoula Fire Science Laboratory but will join
a network of collaborators including Dr. Mark Cochrane at AL and
researchers at South Dakota State University, Brookings, SD (Dr. Xiaoyang
Zhang). The Missoula Fire Sciences Laboratory is in Missoula, MT, a small
college town in the Northern Rocky Mountains of Montana that provides a
highly collaborative and interdisciplinary environment with direct
connections to land management agencies. The postdoc will be provided
leadership and skill growth opportunities in the project and coordinate
collaborations with post docs and other scientists at collaborating
institutions.



*Qualifications:* A completed Ph.D. in ecology, geography, or a related
field. The ideal candidate will have demonstrated expertise in ecosystem
process modeling and spatial analysis and a background in high performance
computing. Candidates with interest in spatial ecosystem process modeling
and deep learning with an emphasis on wildland fire dynamics are highly
encouraged to apply. Experience working with wildfire and remote sensing
data will be viewed favorably but is not required. A promising record of
research productivity is highly valued and the successful applicant will be
an independent, motivated scientist who communicates well and thrives in a
collaborative setting.



The position is available starting as early as March 2026 but ideally no
later than May 2026. The initial appointment is for 1 year, renewable
annually thereafter.




*How to Apply:* Applications may be submitted until the position is filled;
those received by March 1, 2026 are guaranteed consideration. Applications
should be submitted through the UMCES Workday employment portal at the
following link:
https://umd.wd1.myworkdayjobs.com/en-US/UMCES/details/Assistant-Research-Scientist-Integrating-Remote-Sensing-and-Modeling-of-Wildfire-Risk_JR103388



For questions, contact Mark Cochrane via email at: mark.cochrane at umces.edu



UMCES is an equal opportunity employer. Women, minorities, individuals with
disabilities and veterans are encouraged to apply.




-- 
Mark A. Cochrane, Professor
Appalachian Laboratory
University of Maryland Center for Environmental Science
USA

Phone : (301) 689-7109
Fax   : (301) 689-7200
Email : mark.cochrane at umces.edu <mark.cochrane at sdstate.edu>
Web   : https://www.umces.edu/mark-cochrane
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