Data Analyst for Lake Water Management

7 days ago


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

Aarhus University's Department of Ecoscience invites applications for a PhD position in computational limnology. The successful candidate will contribute to developing innovative mathematical models to improve our projections and understanding of non-linear aquatic ecosystem processes.

Job Responsibilities:

The PhD student will deploy high-frequency loggers at Lake Ravn, Denmark, and conduct regular microstructure profiler measurements of turbulent mixing and fluorescence. They will also curate high-frequency data from global sources, quality-control and standardize the data to create a database of time-dynamic, depth-discrete water quality measurements.

The candidate will apply exploratory machine learning techniques, such as Shapley values for sensitivity analysis and physics-informed neural networks for solving inverse problems, on the high-frequency data set to discover underlying relationships. These projections will be compared to state-of-the-art vertical 1D aquatic ecosystem models to discuss their uncertainty.

Qualifications and Competences:

Applicants must have a relevant Master's degree in Environmental Science, Ecology, Applied Mathematics, Data Science, or a related discipline. Experience in scientific programming with Python and/or R is required, along with basic understanding of freshwater ecology and physical limnology. Interest in conducting field work, numerical modeling, and applying machine learning methods to environmental data is highly desirable.

Working Environment:

The Department of Ecoscience at Aarhus University offers a dynamic and inclusive work environment, with opportunities for professional development and collaboration with international institutions. The successful candidate will join the Computational Limnology team and contribute to cutting-edge research projects.



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