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University of Bern
1 week ago
PhD Position in Coupled Networks and Ecosystem Stability in Spatially Coupled Food Webs University of Bern in Switzerland
Degree Level
PhD
Field of study
Computer Science
Funding
The PhD position is fully funded and runs for up to four years. The salary follows the standard SNSF PhD salary scale.
Deadline
Dec 31, 2026
Country
Switzerland
University
University of Bern
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About this position
The University of Bern is recruiting a PhD researcher for CONNECT: COupled Networks aNd Ecosystem sTability, a project investigating how spatial networks interact with networks of species interactions to shape ecological patterns and ecosystem functioning.
Based in the Network Ecology Division at the Institute of Ecology and Evolution, the project focuses on developing a general theory of stability and persistence in spatially coupled food webs. The research builds on an empirically grounded bioenergetic meta-food-web model based on the Allometric Trophic Network framework and uses systematic simulation experiments.
The PhD researcher will study how patch connectivity, degree distribution, spatial embedding, and biologically realistic trait-based dispersal influence the persistence and stability of complex food webs. The project will also examine fine-scale and transient dynamics underlying emergent patterns such as diversity and persistence, and explore how theoretical results can identify keystone patches and dispersal links relevant to ecological conservation and spatial restoration.
The position offers room to develop independent research questions within the broader CONNECT themes. The researcher will join a newly established international group and collaborate with Dr. Isabelle Gounand at Sorbonne University in Paris. This provides opportunities for interdisciplinary exchange across network ecology, theoretical ecology, applied mathematics, physics, and computational science.
Funding details
The PhD position is fully funded and runs for up to four years. The salary follows the standard SNSF PhD salary scale.
What's required
A Master's degree is required. Candidates should be highly motivated, quantitatively strong, and willing to work independently and collaboratively. Programming experience in C++, Python, and/or R and enthusiasm for simulation-based theoretical research are strongly preferred. Good written and spoken English is required. Applicants may come from ecology, physics, applied mathematics, computer science, or other relevant scientific backgrounds; applicants from outside ecology should explain their motivation for the project, while ecology applicants should describe their interest in theoretical and simulation-based work.
How to apply
Submit a single merged PDF by the end of December 2026 containing a motivation letter, CV, contact details for two references, and the completed survey. Apply through the listed application portal and complete the survey at https://forms.gle/7ux76rogqL8LfHzL7.
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Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.