Data-Driven Discovery of Lake Dynamics

2 days ago


Århus, Århus Kommune, Denmark Freshwater Ecology @ Aarhus University Full time

We are seeking a highly motivated researcher to join our team in the Freshwater Ecology section at Aarhus University. The project focuses on applying deep learning algorithms to high-frequency lake monitoring data for scientific discovery of governing equations and driving factors.

About the Project

The prospective PhD student will conduct fieldwork and apply methods for data-driven discovery. They will support the deployment of additional high-frequency loggers at Lake Ravn, Denmark, and curate high-frequency data from global sources. The researcher will also apply exploratory machine learning techniques on the high-frequency data set.

The project has the potential to pave the way for a new generation of cutting-edge technologies for ecological research and improve our conceptual understanding of two critical ecosystem processes: turbulent transport and algae dynamics.



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