PhD in Mathematical Modelling: Wageningen University & Research invites applications for a fully funded PhD position in the ERC Advanced Grant project DIGDEEP. This research focuses on exploring the relationship between biodiversity and disease outbreaks in plant communities using mathematical modeling and ecological insights.
PhD in Mathematical Modelling of Plant Disease in Diverse Communities
Designation
PhD Candidate
Research Area
Mathematical Modelling, Ecology, Epidemiology, Plant-Disease Interactions
Location
Wageningen University, Wageningen, Netherlands
Eligibility/Qualification
- MSc degree in Theoretical Biology, Epidemiology, Applied Mathematics, or a closely related field
- Proven experience in mathematical modeling and quantitative analysis
- Strong motivation to apply skills to plant ecology
- Collaboration skills and fluency in English (minimum language level C1)
Description
As a PhD candidate, you will develop and analyze spatial percolation models to investigate pathogen spread across diverse plant communities. Your work will involve:
- Developing general principles of pathogen transmission
- Formulating and testing new hypotheses
- Collaborating closely with experimental ecologists
- Writing and publishing scientific papers
The team, led by Prof. Dr. Liesje Mommer, includes experts in probability theory, disease dynamics, and mathematical biology. You will benefit from an interdisciplinary environment with opportunities for growth and development.
Benefits
- Monthly gross salary starting at €3.059 (increasing to €3.881 after four years)
- Excellent terms of employment, including parental leave and a strong emphasis on work-life balance
How to Apply
Interested candidates are required to apply through the official website by clicking on the application button next to the vacancy. Ensure to fill in the mandatory form to provide a comprehensive view of your qualifications.
Last Date to Apply
October 20, 2025
This is an exciting opportunity for candidates interested in bridging mathematics and biology to advance sustainable agriculture and biodiversity.
