진학프로석·박사 채용 접수 플랫폼

We invite applications for a postdoctoral position focused on developing actively learning observing systems for carbon, water, and energy exchange in Arctic environments. The position centers on creating frameworks that allow environmental observing systems to adapt and learn from data - identifying which measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more efficient, intelligent, and impactful.

You will integrate field observations - including ground - and drone - based measurements - along with satellite data, into land - surface and boundary - layer models, drawing on the department’s unique infrastructure of eddy flux towers, drone platforms, and data assimilation frameworks. Field campaigns are planned in mainland Norway, Svalbard, and international Arctic sites. Funding is also available for conference attendances and research visits with external collaborators.

For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/289326/postdoctoral-researcher-in-active-learning-for-arctic-observing-systems