Postdoctoral researcher: satellite-based hydrological data assimilation

     
Employer
Published
WorkplaceLeuven, Flemish Region, Belgium
Category
Position

Description

Postdoctoral researcher: satellite-based hydrological data assimilation

Get the benefits out of satellite data and hydrological models

  • Implementing a backscatter assimilation scheme for major Belgian river basins using the NASA Land Information System
  • Disseminating results via peer-review publications and attendance of international conferences
  • Collaborating with other postdoctoral researchers and PhD candidates in our team

We are seeking a highly qualified and enthusiastic candidate for a postdoctoral research position to work on hydrological and land surface data assimilation. The successful applicant will assimilate microwave remote sensing data (backscatter, brightness temperature) into a land surface model to improve ensemble predictions and reforecasts of discharges for major rivers in Belgium. The position is embedded within a Belspo research project on "Improved early warning through Earth observation data assimilation and hydrological retrospective forecasts (EODAHR)". You fit our team if you are an experienced researcher with a keen interest in remote sensing and land surface processes and eager to work in an international setting. You will be part of the Department of Earth and Environmental Sciences at the KU Leuven under the supervision of prof. dr. ir. Gabrielle De Lannoy, and collaborating with the Royal Meteorological Institute (RMI) of Belgium.

We are seeking a highly qualified and enthusiastic candidate for a postdoctoral research position to work on hydrological and land surface data assimilation. The successful applicant will assimilate microwave remote sensing data (backscatter, brightness temperature) into a land surface model to improve ensemble predictions and reforecasts of discharges for major rivers in Belgium. The position is embedded within a Belspo research project on "Improved early warning through Earth observation data assimilation and hydrological retrospective forecasts (EODAHR)". You fit our team if you are an experienced researcher with a keen interest in remote sensing and land surface processes and eager to work in an international setting. You will be part of the Department of Earth and Environmental Sciences at the KU Leuven under the supervision of prof. dr. ir. Gabrielle De Lannoy, and collaborating with the Royal Meteorological Institute (RMI) of Belgium.

Only applicants with all of the following skills will be considered:

  • PhD in Bio-Science Engineering, Civil or Environmental Engineering, Meteorology, Hydrology, Remotely Sensed Earth Observation, Physics, Mathematics, Geography or equivalent
  • Experience with data-processing applications such as Matlab/Python, IDL, GrADS, R, or other.
  • Experience with data assimilation
  • Experience with land surface remote sensing, hydrological or land surface modeling
  • Experience with programming and scientific computing
  • Excellent motivation and grades
  • Creative, critical, analytical and innovative mindset
  • Ability to work independently
  • Excellent written and oral communication skills in English
  • Willingness to work with PhD candidates
  • Proven research experience in scientific publications

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR [at] kuleuven[.]be.

Web

In your application, please refer to myScience.be and reference JobID 2735.

Related News



This site uses cookies and analysis tools to improve the usability of the site. More information. |