The University of Duisburg-Essen seeks a Doctoral Researcher in the Faculty of Biology, Aquatic Ecosystem, to work on the UBA‑funded TrendDNA 2.0 project. The three‑year, 25‑hour‑per‑week position focuses on developing early‑warning systems and identifying drivers of river biodiversity change using eDNA sampling, metabarcoding, and advanced statistical analyses. Candidates must hold a master’s degree, have practical molecular genetics experience, and be proficient in English. The role includes field work, laboratory data generation, bioinformatic processing, statistical modelling, publishing, and limited teaching support. Salary follows TV‑L 13, with additional benefits such as pension scheme, annual bonus, and extensive training opportunities.
| Employer | University of Duisburg-Essen |
| Department | Faculty of Biology, Aquatic Ecosystem |
| Position Type | PhD |
| Discipline | Biology |
| Research Area | River biodiversity change |
| Degree Required | Master’s degree (or equivalent) |
| Experience | Practical experience with molecular genetic methods and bioinformatic/statistical data analysis |
| Salary | TV-L 13 (gross 38.560 € – 54.807 €) |
| Funding | Project funding (German Environment Agency) |
| Contract Duration | 3 years |
| Language | High proficiency in written and spoken English |
| Deadline | 2026-11-11 |
| Required Documents | motivation letter, CV, certificates, transcripts |
| Employer Address | Forsthausweg 2 (Duisburg campus); Universitätsstraße 2 (Essen campus), 47057 (Duisburg); 45141 (Essen), North Rhine-Westphalia |
| Employer Contact | phone +49 201 183-4053, email [email protected] |
TrendDNA 2.0, funded by the German Environment Agency, analyses long‑term biodiversity trends in German rivers and soils using archived samples from the Environmental Specimen Bank. The doctoral project addresses two case studies: (1) building an early‑warning system for river changes via high‑frequency eDNA sampling at a Rhine monitoring station, and (2) identifying drivers of biodiversity change by integrating eDNA data with chemical and regulatory monitoring under the EU Water Framework Directive.
Applicants with a master’s degree (or equivalent) in biology, ecology, environmental sciences or bioinformatics, who have hands‑on experience with molecular genetic methods, DNA metabarcoding or metagenomics, and are skilled in R or Python for statistical time‑series analysis. Candidates must speak English fluently, hold a valid driving licence, and be willing to travel for field work and conferences.
With more than 40,000 students, the University of Duisburg‑Essen is one of Germany’s largest universities and has positioned water research as a central profile, organized in the Centre for Water and Environmental Research (ZWU) and the Collaborative Research Centre 1439 RESIST on river ecosystems under multiple stressors.
Three years.
TV‑L 13 gross 38,560 € to 54,807 €.
High proficiency in written and spoken English.
This listing is summarised from the official advertisement. Always confirm the details, including the closing date, on the employer's own site before applying.
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