University of New Hampshire
4 days ago
Postdoctoral Research Associate in Global Ecology, Remote Sensing, and Machine Learning University of New Hampshire in United States
Degree Level
Postdoc
Field of study
Ecology
Funding
The position is funded by NASA. The initial appointment is for one year and may be renewed subject to funding availability and satisfactory performance. The compensation pay range is $55,000. Continued employment depends on the availability of external sponsor funds and may be modified or terminated if funding is reduced or discontinued.
Country
United States
University
University of New Hampshire
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About this position
The Global Ecology group at the Earth Systems Research Center, University of New Hampshire, invites applications for a full-time Postdoctoral Research Associate in Durham, United States.
The NASA-funded project investigates how terrestrial ecosystem functioning, productivity, carbon uptake and stocks, and resilience respond to climate change, including drought, heatwaves, and other disturbances. It will examine how biodiversity and management mediate these responses across regional to global scales.
The postdoctoral researcher will integrate ground-based observations, including eddy covariance measurements and forest inventories, with satellite remote sensing data such as spaceborne lidar and hyperspectral observations. Machine learning and deep learning approaches will be applied to address questions in global ecology, ecosystem processes, climate extremes, carbon cycling, biodiversity, and Earth system science. Responsibilities include conducting novel research, leading manuscript preparation, and presenting findings at conferences.
A Ph.D. in ecology, remote sensing, atmospheric sciences or meteorology, biogeosciences, forestry or natural resources, environmental science, or a related field is required. Experience in ecosystem functioning, satellite remote sensing, large-scale data processing, machine learning or deep learning, Earth system modeling, or synthesis of in-situ observations is desirable. Strong communication, writing, programming skills, and a publication record are highly valued.
The initial appointment is for one year, with possible renewal depending on funding and performance. Compensation is listed as $55,000, and continued employment is contingent on NASA-related external funding. Applicants should submit a CV, cover letter, and contact information for three professional references through the Workday application portal.
Funding details
The position is funded by NASA. The initial appointment is for one year and may be renewed subject to funding availability and satisfactory performance. The compensation pay range is $55,000. Continued employment depends on the availability of external sponsor funds and may be modified or terminated if funding is reduced or discontinued.
What's required
A Ph.D. in ecology, remote sensing, atmospheric sciences or meteorology, biogeosciences, forestry or natural resources, environmental science, or a related field is required. Applicants should be enthusiastic, creative, and highly motivated. Preferred experience includes mechanistic understanding of ecosystem functioning and processes, satellite remote sensing, processing large datasets, machine learning or deep learning, Earth system modeling, and synthesis of in-situ observations. Strong communication, writing, programming skills, and a publication record are highly desirable. Applicants must submit a resume or CV, cover letter, and contact information for three professional references.
How to apply
Apply online through the University System of New Hampshire Workday careers portal. Upload a resume/CV, cover letter, and contact information for three professional references in the Resume/Cover Letter section.
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Prepare your application
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.