PhD Fellowship/Scholarship: Aarhus University is inviting applications for a PhD fellowship within the Graduate School of Technical Sciences, specifically in the Ecoscience programme. This position focuses on enhancing lake water management through advanced data-driven methodologies, particularly using high-frequency monitoring data and deep learning algorithms to improve ecological models.
Title: Data-driven Analysis of Turbulence and Algae Dynamics Using High-Frequency Lake Monitoring Data
Designation:
PhD Scholarship
| Details | Information |
|---|---|
| Research Area | Aquatic Ecosystem Modelling, Limnology, Data Science |
| Location | Aarhus University, Department of Ecoscience, Aarhus C, Denmark |
| Eligibility/Qualification | Master’s degree in Environmental Science, Environmental Engineering, Ecology, Applied Mathematics, Data Science, or related discipline. Experience in scientific programming (Python/R) is required. Basic understanding of freshwater ecology and numerical modelling is advantageous. |
| Last Date for Application | 04 May 2025, at 23:59 CEST |
Description:
The PhD project aims to apply deep learning algorithms to high-frequency lake monitoring data to enhance understanding and management of aquatic ecosystems. The successful candidate will be involved in fieldwork, data curation, and applying machine learning techniques. This project is part of an initiative funded by Villum Fonden focusing on integrating AI into aquatic ecosystem models, which aims to improve projections and management of harmful algae blooms. The candidate will acquire skills in field monitoring, data science, and deep learning within a supportive and collaborative team environment.
How to Apply:
Interested candidates should submit their application via the link provided on the Aarhus University scholarship page. Note that candidates must upload a project description as a PDF, which can be the same as the project description provided in the announcement.
For further inquiries, applicants may contact:
- Thomas Alexander Davidson (Main Supervisor)
Email: thd@ecos.au.dk
Phone: +45 8715 8743 / +45 2832 3301 - Robert Ladwig (Co-supervisor)
Email: rladwig@ecos.au.dk
Phone: +45 2236 6967
This fellowship offers a unique opportunity to engage in cutting-edge research that addresses critical issues within aquatic ecosystems while developing skills in both fieldwork and data science. All interested candidates are encouraged to apply by the specified deadline.
