Postdoctoral Researcher: Forest Growth & Remote Sensing
University of Agriculture in Krakow
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Benefits offered by this job
Job summary
University of Agriculture in Krakow seeks a postdoctoral researcher to work on a NCN OPUS project focused on forest growth dynamics using IoT and remote sensing. The role involves coordinating statistical models, contributing to near-real-time growth simulations, and disseminating results at conferences.
The successful candidate will have a PhD in forestry or related field, strong skills in R/Python and remote sensing, and proficient English.
Qualifications
- PhD in forestry, environmental sciences, geography, geoinformatics or remote sensing.
- PhD must be obtained within the allowed time frame specified for NCN projects.
- Experience with statistical modelling of tree growth and stand dynamics.
- Experience with large forest datasets and remote sensing data.
- Proficiency in English at level B2 or higher.
- Publications in international journals and research independence.
Responsibilities
- Coordinate work on statistical models of tree and stand growth.
- Develop near-real-time growth models and simulate stand dynamics under climate change.
- Prepare scientific papers and present results at conferences.
Skills
Education
Tools
Job description
University of Agriculture in Krakow seeks a postdoctoral researcher to work on a NCN OPUS project focused on forest growth dynamics using IoT and remote sensing. The role involves coordinating statistical models, contributing to near-real-time growth simulations, and disseminating results at conferences.
The successful candidate will have a PhD in forestry or related field, strong skills in R/Python and remote sensing, and proficient English.
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