Uiodoc is offering a PhD Research Fellowship in Active Learning for Arctic observing systems. This role involves developing an observing system for land-atmosphere fluxes and requires a strong quantitative background. The successful candidate will be part of a research team working with machine learning in Arctic environments.

Ideal candidates should possess a Master’s degree in a relevant field and have good programming skills, particularly in Python or MATLAB. The position offers competitive salary and benefits, including membership in one of Norway's best pension schemes.