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Århus, Århus Kommune, Denmark European Geosciences Union Full timeAbout the ProjectThis project aims to develop innovative mathematical models to improve our projections and understanding of non-linear aquatic ecosystem processes. The selected PhD student will gain skills and knowledge in limnological field monitoring, data science, environmental fluid dynamics, phytoplankton ecology, and deep learning.Key...
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Århus, Århus Kommune, Denmark European Geosciences Union Full timeQualifications and CompetencesThe ideal candidate should have a relevant Master's degree in Environmental Science, Environmental Engineering, Ecology, Applied Mathematics, Data Science, or a related discipline. Experience in scientific programming with Python and/or R is required. Basic understanding of freshwater ecology and physical limnology is an...
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Job Opening for PhD Students in Mathematics
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Research Scientist Position
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Århus, Århus Kommune, Denmark Aarhus Universitet (AU) Full timeCompany OverviewAarhus University Department of Ecoscience is engaged in research programs and advisory work covering the major biological subdisciplines. We conduct world-class research in the areas of aquatic biology and ecology, Arctic environment and ecosystems, biodiversity, conservation biology and wildlife management.The department currently employs...
PhD Student in Freshwater Ecology and Computational Modeling
1 week ago
Aarhus University invites applications for a PhD fellowship/scholarship in the Ecoscience programme within the Department of Ecoscience. We are looking for a highly motivated and skilled researcher to join our team as a PhD student in computational limnology and freshwater ecology.
The successful candidate will work on developing and applying machine learning algorithms to high-frequency monitoring data from Lake Ravn, Denmark, to improve our understanding of non-linear aquatic ecosystem processes. This project aims to develop innovative mathematical models to improve our projections and understanding of complex aquatic ecosystem processes.
As a PhD student, you will conduct field work, apply methods for data-driven discovery, and collaborate with colleagues at the Department of Ecoscience as well as international scientific institutions. You will also gain skills and knowledge in limnological field monitoring, data science, environmental fluid dynamics, phytoplankton ecology, and deep learning.
To be eligible for this position, you must have a relevant Master's degree or receive it before the start date. Experience in scientific programming, basic understanding of freshwater ecology and physical limnology, and interest in conducting field work, numerical modeling, and applying machine learning and deep learning methods to environmental data are highly desirable.