Data-Driven PhD in Aquatic Ecosystems at Aarhus University
4 days ago
**Introduction:**
Aarhus University is looking for an exceptional researcher to contribute to a groundbreaking project focusing on integrating artificial intelligence into aquatic ecosystem models. This project aims to improve our understanding of complex aquatic processes and develop novel mathematical models.
**Job Description:**
The PhD student will work on applying exploratory machine learning techniques to high-frequency data sets to discover underlying relationships and improve scientific understanding. The project involves close collaboration with colleagues at the Department of Ecoscience and international institutions.
**Requirements and Qualifications:
The successful candidate should have a Master's degree in Environmental Science, Ecology, Applied Mathematics, or a related field, with experience in scientific programming and basic understanding of freshwater ecology and physical limnology. Strong teamwork abilities, motivation, and curiosity are essential for this role.
**Additional Benefits:
- Possibility to work with advanced machine learning and deep learning techniques.
- Opportunity to contribute to developing innovative mathematical models for ecological research.
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