PhD Fellowship in Remote Sensing: The University of Copenhagen invites applications for a PhD fellowship focusing on Earth Observation using advanced satellite remote sensing systems. This position is part of the TreeSense project aimed at revolutionizing global tree monitoring through deep learning techniques and state-of-the-art remote sensing technology.
PhD Fellowship in Remote Sensing and Deep Learning
Designation:
PhD Fellowship
| Details | Information |
|---|---|
| Research Area | Remote Sensing, Deep Learning, Earth Observation |
| Location | Department of Geosciences and Natural Resource Management, University of Copenhagen, Denmark |
| Eligibility/Qualification | Master’s degree (equivalent to a Danish MSc) in related fields (e.g., geography, earth observation, geoinformatics). Python programming skills and experience in remote sensing and deep learning are advantageous. |
| Last Date to Apply | March 1, 2025, 23:59 GMT +1 |
Description:
The PhD position aims to develop research techniques for improved assessment and monitoring of woody vegetation ecosystem properties at the single tree level using remote sensing technology and AI algorithms. The successful candidate will focus on disturbances and change dynamics by integrating data from PlanetScope and Sentinel sensors, leveraging extensive datasets for global-scale environmental monitoring.
This research will address significant unknowns in global change research, including the impact of climate change on tree physiology and growth patterns at the species level.
Key Responsibilities:
- Conduct an independent research project under supervision.
- Complete PhD courses (approx. 30 ECTS).
- Participate in a research exchange stay, preferably abroad.
- Engage in teaching and knowledge dissemination activities.
- Publish scientific papers and write a PhD thesis based on the project.
How to Apply:
Interested candidates must submit their application electronically and include the following documents:
- A cover letter (max 2 pages) detailing background, personal qualities, research interests, and an outline of research ideas.
- CV (max 2 pages).
- Academic diplomas and transcripts (BSc and MSc).
- Any other relevant information, such as a list of publications.
- A short abstract of the MSc thesis (max 300 words).
- 1-3 reference letters (if available).
Applications must be submitted by clicking the ‘APPLY NOW’ link on the job portal.
This opportunity offers an exciting chance to contribute to cutting-edge research in remote sensing while working closely with a vibrant community of researchers at the University of Copenhagen.
For specific inquiries, please contact Principal Supervisor Associate Prof. Martin Brandt via email at mabr@ign.ku.dk.
Last Date to Apply: March 1, 2025, 23:59 GMT +1
