Machine Learning for Lake Management

3 days ago


Århus, Århus Kommune, Denmark The University Of Illinois Full time
Machine Learning for Lake Management

We are seeking a highly motivated PhD student to join our research team at The University Of Illinois. This project focuses on applying machine learning and deep learning methods to environmental data to improve our understanding and projections of non-linear aquatic ecosystem processes.

Key responsibilities include:

  • Supporting the deployment of high-frequency loggers at Lake Ravn, Denmark, and conducting regular microstructure profiler measurements of turbulent mixing and fluorescence.
  • Curating high-frequency data from global sources to increase data volumes and quality-controlling the data to create a database of time-dynamic, depth-discrete water quality measurements.
  • Applying exploratory machine learning techniques to discover underlying relationships in the data and comparing these projections to state-of-the-art vertical 1D aquatic ecosystem models.

The selected PhD student will gain skills and knowledge in limnological field monitoring, data science, environmental fluid dynamics, phytoplankton ecology, and deep learning.



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