[ES_JOBS_NET] Assistant Research Scientist-Wildfire Risk- Univ. of Maryland

[Christine Wiedinmyer]

Assistant Research Scientist-Integrating Remote Sensing and Modeling of
Wildfire Risk

https://umd.wd1.myworkdayjobs.com/en-US/UMCES/details/Assistant-Research-Scientist-Integrating-Remote-Sensing-and-Modeling-of-Wildfire-Risk_JR103388

*Additional Job Details*

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
is required. 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.

UMCES offers excellent benefit options through the State of Maryland, to
include medical, dental, prescription, FSA, life insurance and AD&D.
Regular full time employees also receive university retirement benefits, a
very generous tuition remission program and comprehensive annual and sick
leave benefits.

The selected candidate will be required to review and accept the UMCES
Principles of Conduct.
<https://umces.edu/sites/default/files/Principles%20of%20Conduct%20Sign.pdf>

Required Application Materials: Cover letter, resume/cv, list of three
references and their contact information



Best Consideration Date: March 1, 2026



Open Until Filled: yes



*Department*UMCES-Appalachian Laboratory

*Worker Sub-Type* Faculty Regular
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