University of Brescia
1 week ago
PhD and Postdoctoral Opportunities in Quantitative Ecology and Computational Modelling at University of Brescia University of Brescia in Italy
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
Italy
University
University of Brescia

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About this position
🚀 The University of Brescia (Italy) is collecting expressions of interest for PhD and postdoctoral opportunities in quantitative ecology and computational modelling.
The research group is recruiting for two PhD topics: predator–prey modelling and population dynamics. The work includes development and analysis of mechanistic models, model calibration and validation, biological parameter estimation, functional relationships, quantitative data analysis, and scientific programming.
Two postdoctoral positions are also advertised: one in quantitative ecology and computational modelling, and one focused on building an advanced computational platform for population dynamics modelling. Postdoctoral responsibilities include developing mechanistic and computational models, inference and uncertainty quantification methods, reproducible workflows, publication in leading journals, and contributions to Horizon Europe and other international projects.
Eligible candidates should be strongly interested in mathematical biology, statistics, data analysis, scientific programming (R, Python, C++, or similar), and computational modelling. The post emphasizes an active, collaborative environment with links to universities, research institutes, and public organizations across Europe and beyond.
Funding is available through national and European research projects. No deadline is stated in the post.
To apply, send a CV and a short cover letter describing your background, research interests, and motivation to anna.simonetto@unibs.it.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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