Adam Agristok
3 months ago
Postdoctoral Position in Dead Fuel Estimation & Forest Decline Analysis (Environmental Science, France) Centre d'Etudes Spatiales de la BIOsphère (CESBIO) in France
Degree Level
Postdoc
Field of study
Environmental Science
Funding
This is a full-time, 18-month postdoctoral research position funded by the CNRS ECOFEU project. The funding covers salary for the duration of the appointment. No details on stipend amount or additional benefits are provided.
Deadline
Expired
Country
France
University
Centre d'Etudes Spatiales de la BIOsphère (CESBIO)

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About this position
The CNRS ECOFEU project is seeking a full-time postdoctoral researcher for an 18-month position focused on dead fuel estimation and forest decline analysis in metropolitan France. The successful candidate will be based at CESBIO in Toulouse and will contribute to cutting-edge research on wildfire prevention and climate resilience. The project involves estimating dead forest fuel caused by dieback using satellite data, advanced modeling, and machine learning techniques. This research is crucial for understanding and mitigating the impacts of forest decline and wildfires in the context of climate change.
Applicants should have a PhD in environmental science, forestry, remote sensing, or a related discipline. Experience with satellite data analysis, advanced modeling, and machine learning is essential. The position is fully funded by the CNRS ECOFEU project and offers a collaborative environment at CESBIO, a leading research institution in France. The role provides an excellent opportunity for postdoctoral researchers interested in environmental science, forest ecology, remote sensing, and climate resilience.
To apply, follow the LinkedIn links provided for more information and application instructions. Interested candidates are encouraged to contact Professor Adam Agristok via LinkedIn for further details about the position and application process.
Funding details
This is a full-time, 18-month postdoctoral research position funded by the CNRS ECOFEU project. The funding covers salary for the duration of the appointment. No details on stipend amount or additional benefits are provided.
What's required
Applicants should have a PhD in environmental science, forestry, remote sensing, or a related field. Experience with satellite data analysis, advanced modeling, and machine learning is required. Strong research skills and the ability to work independently are expected. No language or GPA requirements are specified.
How to apply
Follow the provided LinkedIn links for more information and application instructions. Contact Adam Agristok via LinkedIn for further details. Prepare your CV and relevant documents for submission.
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