Data-Driven Modeling of Rivers with Satellite Earth Observation

20 hours ago


Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark Danmarks Tekniske Universitet Full time
Job Description

We are seeking applicants for a 3-year PhD position in collaboration with the University of Copenhagen. The successful candidate will be part of the ESA-funded project EO4FLOOD, which aims to develop an innovative flood forecasting system using remote sensing data and modeling.

Responsibilities
  1. Develop methods to take full advantage of remote sensing data
  2. Advance the field of river hydrodynamic modeling using remote sensing data
  3. Contribute to academic publications and project deliverables, as well as present research results at conferences
Qualifications
  • A master's degree within natural science or environmental engineering
  • Excellent programming skills in R, Python, Matlab, or similar
  • Some experience with remote sensing data, particularly satellite altimetry data, but also SAR and optical imagery
  • Excellent communication, collaboration, and analytical skills


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