PhD student - Multisource data integration for high-resolution Arctic prediction

About the position

We are looking for a PhD student with a background in computational physics and/or geosciences and a strong interest in machine learning, Earth observation, and numerical modelling for Arctic prediction. The PhD project will develop methods to improve monitoring and prediction of the Arctic environment through multisource data integration, combining modelling with in-situ observations and high-resolution satellite remote sensing.

The work will focus on sea ice and Arctic weather, but will also consider relevant ocean and surface parameters that influence Arctic predictability and air-ice-ocean interactions. A core part of the project will be the development of robust workflows for satellite-data access, preprocessing, quality control, and information extraction for ML-based prediction systems.

The position is part of Polhavet 2050 (Arctic Ocean 2050), a national 10-year research initiative that brings together Norwegian and international ...