The successful candidate will investigate and develop algorithms for retrieval of geophysical and biochemical variables in the Barents Sea from multispectral (and hyper-spectral, if available) optical sensors. The PhD candidate will be involved in collecting satellite data and coincident in-situ datasets. Some fieldwork can be expected.

Requirements for this position include a Master’s degree in physics, mathematics, statistics, or machine learning. The successful candidate is required to have course work in optical remote sensing and machine learning. A strong background in signal and image processing, physics, and statistics is desirable. Some knowledge of remote sensing of Arctic waters and sea ice would be advantageous and experience with synthetic aperture radar would be an asset.

Read the full position description and instructions for applications on UiT website.