PhD: Investigating Moss Traits and Fire Ignition in Arctic Peatlands and Tundra
Explore how moss functional traits influence fire dynamics in rapidly warming Arctic ecosystems through lab, field, and remote sensing research.
Best for:Best for ecology or environmental science graduates with strong experimental skills, fieldwork experience, and a passion for interdisciplinary research combining lab, field, and remote sensing methods.
Overview
This PhD position at Wageningen University & Research focuses on understanding how moss traits affect fire ignitability in high-latitude peatlands and tundra. As Arctic ecosystems warm faster than anywhere else, permafrost thaw and increased fire frequency threaten to turn carbon sinks into carbon sources, accelerating climate change. Bryophytes (mosses) dominate these ecosystems and play a critical role in determining fire susceptibility due to their water-retention and insulating properties. The project combines experimental design, fieldwork, and remote sensing to examine moss-fire interactions at plant, ecosystem, and biome scales. The successful candidate will contribute to improving fire risk assessments and advance climate change mitigation strategies in vulnerable Arctic regions.
What you'll do
- Develop and execute experimental methods to assess moss ignitability under controlled lab conditions.
- Conduct fieldwork in high-latitude ecosystems, including vegetation surveys and environmental monitoring during and after fires.
- Analyze remote sensing data and global vegetation databases to correlate moss traits with fire dynamics.
- Publish research findings in peer-reviewed journals and present results at national and international conferences.
- Supervise BSc and MSc students as part of collaborative research projects.
Requirements
Degree required: Master of Science in ecology, environmental sciences, climate studies, or a related field
Degree offered: PhD
Language: English; C1 proficiency level (internationally recognized certificate may be required)
Instruction: English
- Strong experimental design and execution skills for lab and field research
- Experience with vegetation surveys and environmental monitoring techniques
- Proficiency in data analysis, particularly with remote sensing and global vegetation databases
- Excellent organizational and communication skills for collaborative research
- Fluency in English at C1 level (written and spoken)
- No specific nationality restrictions mentioned
- No residency or age limits specified
- No prior experience caps beyond academic qualifications
Funding & terms
How to apply
Deadline: 2026-11-02
Applicants should submit their CV, a motivation letter, and a list of academic references through the university’s application portal. Additional documents, such as a certificate of English proficiency if required, may also be requested.
- CV
- Motivation letter
- List of academic references
- Certificate of English proficiency (if applicable)
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