Earth Day
Research Scientist I – Ecosystem Modeler Colorado State University
Earth Day, Fort Collins, Colorado, us, 80523
Founded in 1870, Colorado State University is among the nation’s leading research universities and enrolls approximately 32,000 undergraduate, graduate, and professional students. Located an hour north of the Denver metro area, Fort Collins is a vibrant community of approximately 157,000 residents that offers the convenience of a small town with all the amenities of a large city. Fort Collins is situated on the Front Range of the Rocky Mountains with views of 14,000 foot peaks, and offers access to numerous cultural, recreational, and outdoor opportunities.
The Natural Resource Ecology Laboratory is a research and teaching unit at Colorado State University with a mission “to ensure the sustainability of the Earth’s ecosystems through the generation and application of new knowledge.” The department’s interdisciplinary, ecosystem research promotes collaborations among disciplines and across fields of expertise at CSU and throughout the world. As a soft-money research unit, this role is critical to ensure adequate funding to sustain its vital role in the research community both locally and across the globe.
Position SummaryThe position entails developing, evaluating, and applying hybrid models using AI approaches and process-based ecosystem models. Responsibilities include advancing knowledge-guided AI algorithms and methods to improve the prediction accuracy of plant production, carbon (C) and nitrogen (N) cycling in terrestrial ecosystems, and assessing the uncertainties in the predictions. The position will require collaboration with other team members on the project, communication with project partners, and preparation of peer-reviewed manuscripts.
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The Natural Resource Ecology Laboratory is a research and teaching unit at Colorado State University with a mission “to ensure the sustainability of the Earth’s ecosystems through the generation and application of new knowledge.” The department’s interdisciplinary, ecosystem research promotes collaborations among disciplines and across fields of expertise at CSU and throughout the world. As a soft-money research unit, this role is critical to ensure adequate funding to sustain its vital role in the research community both locally and across the globe.
Position SummaryThe position entails developing, evaluating, and applying hybrid models using AI approaches and process-based ecosystem models. Responsibilities include advancing knowledge-guided AI algorithms and methods to improve the prediction accuracy of plant production, carbon (C) and nitrogen (N) cycling in terrestrial ecosystems, and assessing the uncertainties in the predictions. The position will require collaboration with other team members on the project, communication with project partners, and preparation of peer-reviewed manuscripts.
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