PhD Monitor
/Detail
Environmental Science● Open⏰ 4 days leftPreview

PhD Position on Vegetation Influence on Soil Microbial Processes and Carbon Cycling

Investigate how vegetation structure and traits regulate below-ground microclimates and carbon cycling in a changing climate.

Best for:Best for candidates with an MSc in Natural Sciences or Engineering who are passionate about integrating field ecology, remote sensing, and computational modeling.

University of Amsterdam (UvA) · Amsterdam, Netherlands · R1 · First-stage researcher
More professors at University of Amsterdam (UvA)
Soil MicrobiologyEcosystem Carbon CyclingRemote SensingMicroclimate DynamicsProcess-based ModelingPlant Functional Traits
Deadline
Oct 18, 2026
4 days
Funding
Salaried
€3.2k–€4.1k/mo
Start date
As soon as possible
Fixed-term
Location
Amsterdam
Netherlands

Overview

The Institute for Biodiversity and Ecosystem Dynamics (IBED) at the University of Amsterdam is seeking a PhD candidate to join an interdisciplinary project exploring the link between vegetation, soil microbial processes, and ecosystem carbon storage. As climate change increases the frequency of droughts and heat waves, understanding how plants moderate below-ground microclimates is critical for predicting ecosystem resilience. The successful applicant will employ a multi-method approach, integrating controlled experiments, field observations, remote sensing, and process-based modeling. This role offers a unique opportunity to work within a collaborative team of experts in soil ecology, carbon cycling, and computational modeling. The candidate will contribute to both research and teaching activities while developing their own interdisciplinary research program.

PhDSoil EcologyCarbon SequestrationClimate ChangeLiDAREddy CovarianceMicrobial Ecology

What you'll do

  • Conduct laboratory experiments and field campaigns at the ICOS ecosystem station Loobos and other research sites.
  • Quantify soil microclimate, microbial activity, community composition, and carbon cycling dynamics.
  • Analyze vegetation structure and functional traits using remote sensing techniques such as LiDAR and multi-spectral imagery.
  • Process and interpret chamber and eddy covariance measurements.
  • Apply process-based models to integrate observations across various spatial and biological scales.
  • Publish research findings in high-impact international peer-reviewed journals.
  • Present research outcomes at national and international scientific conferences.
  • Contribute to the teaching and supervision of Bachelor's and Master's students.

Requirements

Degree required: MSc in Natural Sciences (e.g., Earth Science, Biology, Ecology, Physics) or Engineering

Degree offered: PhD

Language: Excellent written and spoken English.

Instruction: English

Required skills
  • Experience with computational modeling and quantitative data analysis.
  • Proficiency in programming for data processing and analysis.
  • Strong analytical and problem-solving capabilities.
  • Excellent written and verbal communication skills in English.
  • Ability to work both independently and collaboratively within an interdisciplinary team.
Nice to have
Experience with remote sensing data analysis (LiDAR, multi/hyper-spectral imagery).Knowledge of process-based carbon modeling.Familiarity with plant functional traits.Experience with eddy-covariance or other carbon flux measurement techniques.Background in soil microbial ecology and biogeochemistry.
Eligibility
  • Must hold an MSc degree in a relevant field.
  • Must be able to work in the Netherlands (visa support available for international applicants).

Funding & terms

Type
Salaried
Amount
€3.2k–€4.1k/mo
Duration
4 years
Programme
University of Amsterdam
University of Amsterdam

How to apply

Deadline: 2026-10-18

Applications must be submitted via the online portal. Candidates should provide a detailed CV, a motivation letter (max 2 pages), degree certificates, and contact information for two references in a single PDF file.

Documents required
  • CV
  • Motivation letter
  • Degree certificates
  • Contact details of two references
↗Apply on site

Contact

Yifang Shi· Assistant Professor

y.shi@uva.nl

https://ibed.uva.nl/

YS
Prof.
Yifang Shi
Institute for Biodiversity and Ecosystem Dynamics (IBED)
Lab
Department of Theoretical and Computational Ecology / Department of Ecosystem and Landscape Dynamics
University of Amsterdam (UvA)
Netherlands
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Ready to apply?
4 days until the deadline — open this position on its website.