The project aims to reprocess the Sentinel-1 data archive for deriving Lagrangian sea ice motion and wave-in-ice products.

The primary tasks will include:

  • Algorithm development for satellite Earth observation data processing;
  • Scientific analysis, publication, and presentation of results;
  • Machine learning integration to enhance the performance of data processing techniques;
  • Algorithm optimization for scalability and efficiency in handling large volumes of data;
  • Cloud environment adaptation for facilitating accessibility and wider use; and
  • Participation in preparing applications for research projects.

Qualifications include:

  • PhD or equivalent in applied mathematics, Earth system science, or physics;
  • Expertise in SAR data analysis, understanding of the basic principles, data acquisition techniques, and image processing methods;
  • Experience with application of remote sensing data for geophysical research including cryosphere, ocean, or land domains, and with preparing and publishing scientific papers on these subjects;
  • Proficiency in Python programming language, commonly used in data analysis and manipulation, understanding relevant libraries and frameworks (e.g., GDAL, NumPy, pandas), and experience with object-oriented programming;
  • Competence in deep learning frameworks such as TensorFlow; and
  • Fluent in spoken and written English, corresponding to “B2 Upper Intermediate” (see Understanding the Common European Framework of Reference for Languages | EF SET ).

The position is temporary, but has a potential to become permanent.

Application deadline: 20 December 2023

For more information and to apply, go to: Vacant position as Researcher in sea ice modeling and remote sensing (254090) | Nansen Environmental and Remote Sensing Center (jobbnorge.no)

For questions, contact:

Anton Korosov

Email: anton.korosov@nersc.no

Einar Olason

Email: einar.olason@nersc.no