Florian Altermatt
2 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
Postdoc in Analytical Pipelines and eDNA Analyses for Invasive Alien Species in Aquatic Systems University of Zurich in Switzerland
Degree Level
Postdoc
Field of study
Computer Science
Funding
2-year postdoctoral position. No stipend amount or tuition details are mentioned.
Deadline
Aug 14, 2026
Country
Switzerland
University
University of Zurich

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Suggested positions
Keywords
About this position
Postdoctoral opening in the group of Florian Altermatt at the University of Zurich / Eawag in aquatic ecology, environmental DNA (eDNA), and invasive alien species (IAS). The project focuses on developing analytical pipelines and analyses to survey invasive species in aquatic systems using existing eDNA datasets.
The initial geographic focus is Central Europe/Switzerland, but the methods should be scalable across Europe and beyond. The work includes: (i) establishing reference databases for IAS metabarcoding analyses; (ii) developing end-to-end semiautomated analytical pipelines for eDNA metabarcoding; and (iii) proof-of-principle testing and application on existing aquatic eDNA datasets.
This is a 2-year postdoc position. The post explicitly encourages own contributions and ideas, with extensive intellectual freedom to shape the project. Relevant study areas include biology, environmental science, computer science, statistics, and related bioinformatics/data-analysis skills.
Deadline: August 14th.
Funding details
2-year postdoctoral position. No stipend amount or tuition details are mentioned.
What's required
Applicants should have strong interest and experience in analytical pipelines, data analysis, and environmental DNA/metabarcoding approaches. The post emphasizes independent contributions, own ideas, and the ability to develop end-to-end semiautomated workflows for aquatic eDNA datasets. A background relevant to biodiversity, invasive species, or aquatic ecology would be advantageous.
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.