Universität Duisburg-Essen
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PhD in eDNA-based biodiversity time series in rivers University of Duisburg-Essen in Germany
Degree Level
PhD
Field of study
Molecular Biology
Funding
TV-L E13, 65% position for 3 years. The project is funded by the Umweltbundesamt (German Environment Agency).
Deadline
Nov 11, 2026
Country
Germany
University
Universität Duisburg-Essen

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About this position
Doctoral Researcher in eDNA-based biodiversity time series in rivers
A PhD opening is available in the Aquatic Ecosystem Research group led by Florian Leese at the University of Duisburg-Essen (Essen campus, Germany). The project, TrendDNA 2.0, is funded by the Umweltbundesamt / German Environment Agency and focuses on reconstructing long-term river biodiversity trends using archived samples from the German Environmental Specimen Bank.
The research combines environmental DNA (eDNA), biodiversity monitoring, freshwater ecology, and time-series analysis. Two case studies are highlighted: an eDNA-based early-warning system using high-frequency autosampler samples from a River Rhine monitoring station and monthly suspended particulate matter samples; and identifying drivers of biodiversity change by linking eDNA with chemical data, including non-target screening, and Water Framework Directive (WFD) monitoring data.
Applicants should hold a Master’s degree in biology, ecology, environmental sciences, bioinformatics, or a related field. The post also asks for hands-on molecular lab experience, R/Python skills, and strong curiosity about time-series analysis. The team is described as collaborative and experienced in eDNA work, with close exchange with the Environment Agency / German Specimen Bank and interaction with partners including Senckenberg Nature Research and the Leibniz Institute of Freshwater Ecology and Inland Fisheries.
Funding details: TV-L E13, 65% position, for 3 years. Start date is as soon as possible. Deadline: 11 November 2026.
Interested candidates should read the official announcement linked in the post and follow the application instructions there.
Funding details
TV-L E13, 65% position for 3 years. The project is funded by the Umweltbundesamt (German Environment Agency).
What's required
Applicants should have a Master’s degree in biology, ecology, environmental sciences, bioinformatics, or a related field. Hands-on molecular lab experience is required, along with R/Python skills and genuine curiosity about time-series analysis. The project is suited to candidates interested in eDNA, biodiversity monitoring, freshwater ecology, and linking molecular data with chemical and WFD monitoring data.
How to apply
Review the official announcement linked in the post and apply through the provided application instructions. The position starts as soon as possible, so submit materials before the deadline.
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