The Department of Mathematics and Mathematical Statistics invites applications for a two-year postdoctoral fellowship in data-driven analysis of a subarctic ecosystem near Kiruna, Sweden. The fellowship is full-time and will commence on 1 September 2025, or as agreed.

Project description:
How do species interact within an ecosystem – and how do their interactions change over time?

With data-driven methods, new opportunities arise to understand ecosystems as complex, dynamic networks. This project aims to analyse the world’s most extensive eDNA database, consisting of weekly samples collected over 34 years in northern Sweden, to identify and understand interdependencies between species, and to explore how climate change and land-use shifts have shaped these patterns. The project is conducted in close collaboration with researchers in mathematics, ecology, and bioinformatics.

The fellow will be offered affiliation and a workspace at IceLab – the Integrated Science Lab – at Umeå University, which hosts a Centre of Excellence focused on living systems under stress. IceLab brings together early-career and senior researchers from the life sciences, computer science, physics, mathematics, and other fields in a curious, creative, and international environment. The community is vibrant and welcoming, with an active academic and social life that includes journal clubs, workshops, research lunches, movie nights, and informal gatherings. As a fellow at IceLab, you will have the opportunity to grow both scientifically and socially in a supportive and inclusive environment.

This postdoctoral fellowship is funded and administered by the Carl Trygger Foundation. The fellowship is tax-free in Sweden and amounts to SEK 672,000 for two years (SEK 336,000 per year).

Umeå provides outstanding working and living conditions. This youthful city is situated beside a large river, surrounded by forests and lakes, and is near the sea. The area offers numerous opportunities for both indoor and outdoor activities.

For more information and application instructions, please visit: https://umustipendie.varbi.com/en/what:job/jobID:823189/