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Global Water Resources Monitoring using Novel Remote Sensing and Land Modeling

Company

KU Leuven

Location

Leuven, Belgium

Type

Full-time

  • MSc degree in Bioscience Engineering, Civil or Environmental Engineering, Hydrology, Meteorology, Remotely Sensed Earth Observation, Physics, Mathematics, Computer Sciences, or equivalent
  • Excellent motivation to work on soil-plant processes, remote sensing and modeling
  • Experience with data-processing or programming in Matlab, Python, IDL, GrADS, R, or other
  • Interest in open source code distribution (e.g. GitHub)
  • Excellent motivation and grades
  • Creative, critical, analytical and innovative mindset
  • Ability to work independently
  • Excellent written and oral communication skills in English
  • Only students with grades above average can be admitted to the doctoral school. Please provide your grades in your resume.

  • Perform high quality research related to land surface modeling and GRACE satellite data assimilation
  • Publish a PhD manuscript and peer-reviewed publications
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