Remote Sensing Scientist for Tree Monitoring

6 hours ago


København K, Denmark KU - SCIENCE - IGN Full time

As a PhD student in our group, you will contribute to groundbreaking research that paves the way for addressing science questions on major unknowns within global change research. You will work closely with experienced researchers and academics to develop novel methods for global-scale applications in environmental resource monitoring.

Key Areas of Focus
  1. Develop super-resolution or other image sharpening techniques to improve tree monitoring capabilities in time and space.
  2. Integrate freely available Sentinel-1 and Sentinel-2 data to harness model predictions.
  3. Collaborate with research partners from LSCE in France, CREAF in Spain, and several Chinese universities.
Qualifications and Skills

We seek a highly motivated scholar with good interpersonal and communication skills, fluency in spoken and written English, and experience in Python programming, remote sensing, and deep learning. Prior experience with handling and processing large image datasets and scientific publications are an advantage.



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