PhD in Geo Artificial Intelligence, University of Twente, The Netherlands

Post-Doc-Position in Netherlands, University of Twente

PhD in Geo Artificial Intelligence: The University of Twente is offering a PhD scholarship focused on Geo Artificial Intelligence for Mapping Vegetation Dynamics, as part of the EARTHONE Horizon Europe project. This opportunity is suited for individuals passionate about utilizing geospatial data to address climate change and optimize land-use practices.

PhD in Geo Artificial Intelligence for Mapping Vegetation Dynamics


Designation

PhD Candidate in Geo Artificial Intelligence for Mapping Vegetation Dynamics


Details

CategoryDetails
Research AreaGeo Artificial Intelligence, Vegetation Dynamics, Climate Change, Spatial Modeling
LocationUniversity of Twente, The Netherlands
EligibilityMSc degree in geospatial, computer, environmental sciences, or related field
Salary€2,901 – €3,707 gross monthly salary depending on the year of study
Work Hours40 hours per week
Contract DurationFull-time position for four years with a qualifier after 6–9 months
DeadlineMarch 5, 2025

Eligibility/Qualification

  • A Master’s degree in geospatial, computer, or environmental sciences, or a related field.
  • Strong programming skills, preferably in Python.
  • Knowledge in geospatial modeling, spatial statistics, and machine/deep learning.
  • Good communication skills, with an excellent command of English; knowledge of Dutch is a plus.
  • Ability to work in an interdisciplinary and internationally oriented environment.
  • Interest and background in climate change, ecology, or phenology are advantageous.

Job Description

As a PhD candidate, you will:

  • Conduct research on vegetation seasonality (phenology) at various scales to evaluate vegetation responses to climate change.
  • Integrate and analyze climate simulations, weather data, and remotely sensed products.
  • Model the impact of extreme weather events and land use changes on vegetation.
  • Develop and apply geo-artificial intelligence techniques, including machine learning.
  • Collaborate with experts in climate modeling, forestry, soil science, and agronomy.

How to Apply

Interested candidates should submit the following documents:

  1. Motivation Letter (one page maximum) explaining your interests and contributions to the topic.
  2. Curriculum Vitae detailing your education, work experience, and references.
  3. Research Proposal (maximum two pages) outlining ideas for phenological modeling.
  4. Summary of Significant Results (around 250 words) from the last key project or thesis.

Applications must be submitted to the University of Twente’s official application portal before the deadline.


Last Date to Apply

March 5, 2025


For more information, contact:

This scholarship represents a valuable opportunity to further your academic career while contributing to meaningful environmental research.

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