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Danube University Krems

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Postdoctoral Position in Aquatic Food-Web Ecology and Modelling at Danube University Krems Universität für Weiterbildung Krems (Danube University) in Austria

Degree Level

Postdoc

Field of study

Environmental Science

Funding

1-year postdoctoral position, fully funded according to FWF guidelines.

Deadline

Oct 31, 2026

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Country

Austria

University

Danube University Krems

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Keywords

Environmental Science
Biology
Algal Biology
Freshwater Ecology
Fish
Zooplankton
Statistics

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About this position

Postdoctoral opportunity in aquatic food-web ecology at Universität für Weiterbildung Krems (Danube University), Austria, within the HydroFat project.

The project focuses on exploring and modelling trophic processes in freshwater pond food webs, with attention to the environmental and dietary responses of algae, zooplankton, and fish. This is a strong fit for researchers interested in biology, environmental science, freshwater ecology, and quantitative food-web modelling.

The position is a 1-year postdoctoral appointment and is fully funded according to FWF guidelines. The announced work location is Krems, Austria.

Applicants should send their application materials to Prof. Martin Kainz at [email protected]. The post notes that full details and application requirements are provided in the attached announcement.

Deadline: 31 October 2026.

Funding details

1-year postdoctoral position, fully funded according to FWF guidelines.

What's required

Applicants should submit application materials for a postdoctoral researcher position in aquatic food-web ecology and modelling. The post focuses on freshwater pond food webs and trophic processes, so relevant research experience in ecology, modelling, or related quantitative biological sciences is implied. Full application requirements are said to be in the attached announcement.

How to apply

Submit application materials to Prof. Martin Kainz by email. Review the attached announcement for full details and application requirements.

More information can be found here

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