Ph.D. Research Scholar: Height Models: A prestigious scholarship opportunity is now available for researchers interested in working on the analysis of time series of forest canopy height models. This temporary position offers a unique chance to contribute to innovative research in a collaborative and dynamic environment.
Ph.D. Research Scholar: Research on Time Series of Forest Canopy Height Models
Designation:
Ph.D. Research Scholar (M/F)
Research Area:
Investigating the utility of time series of 3D models of forest canopies for estimating forest attributes and production features.
Location:
Nancy, Grand-Est, France
Eligibility/Qualification:
- Master’s degree or equivalent in forestry sciences, computer science, applied mathematics, data sciences, photogrammetry, or remote sensing
- Proficiency in Python and/or R programming
- Advanced English language skills (TOEIC)
- Experience in machine learning, including deep learning
- Familiarity with survey statistics (optional)
Description:
The position involves developing innovative approaches for handling the temporal dimension of forest canopy models, comparing different sources of 3D models, and evaluating models for mapping purposes. Additionally, the successful candidate will work with auxiliary data to enhance the accuracy of the models.
How to Apply:
To apply for this Ph.D. scholarship, please visit the IGN website for official application details. For any position-related inquiries, you can contact:
- Cédric VEGA at cedric.vega@ign.fr
- Jean-Pierre RENAUD at jean-pierre.renaud-02@onf.fr
- Recruitment information: Mélanie BARBET at melanie.barbet@ign.fr
Please note that applications sent via email will not be considered.
Last Date to Apply:
November 15, 2024
Don’t miss this exciting opportunity to become part of a renowned research team at the National Institute of Geographic and Forest Information in France. Apply now and embark on a journey of discovery and innovation in forest science!
