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

Post-Doc-Position in Netherlands, University of Twente

PhD Candidate in Geo Artificial Intelligence: he University of Twente offers a scholarship opportunity for a PhD candidate focused on the use of geo artificial intelligence to study and map vegetation dynamics as part of the EARTHONE project. This multidisciplinary research aims to assess sustainable land-use changes and their contributions to greenhouse gas emissions, optimizing environmental analysis and resilience.

PhD Candidate in Geo Artificial Intelligence for Mapping Vegetation Dynamics

Designation

PhD Candidate

AspectDetails
Research AreaGeo Artificial Intelligence, Vegetation Dynamics
LocationUniversity of Twente, Netherlands
Eligibility/QualificationMSc degree in geospatial, computer, or environmental sciences, strong data-driven analysis and programming skills (Python), background in geospatial modelling and machine learning
DescriptionThe candidate will conduct vegetation seasonality studies and integrate various climatic and geographical datasets to understand the impacts of climate change on vegetation. Responsibilities include mapping phenological regions, modeling effects of land use change, and developing geo-ai methods.
How to ApplyInterested candidates should submit a motivation letter, CV, a short research proposal, and a brief description of their last significant result. Applications must be submitted online via the University of Twente career portal.
Last Date for ApplyMarch 5, 2025

Additional Details

Research Area

  • Conduct studies on vegetation phenology at regional and local scales.
  • Utilize climate simulations, weather products, and remote sensing data.
  • Collaborate with experts in various fields, including climate modeling, forestry, and agronomy.

Location

  • University of Twente, Enschede, Netherlands.

Eligibility/Qualification

  • An MSc in geospatial, computer, or environmental sciences or related fields.
  • Strong programming skills (preferably in Python).
  • Knowledge of machine learning and geospatial modeling.
  • Interdisciplinary and international teamwork capabilities.
  • Excellent communication skills in English; Dutch language is a plus.

Description

The position offers a four-year full-time contract with a gross monthly salary ranging from €2,901 to €3,707, increasing with years of service. The university promotes a diverse and inclusive working environment. Full access to professional and personal development programs is included, alongside excellent facilities.

How to Apply

Applications should include:

  • A motivation letter (maximum one page).
  • A CV detailing educational background and references.
  • A short research proposal (maximum two pages) on phenological modeling.
  • A brief description (250 words) of a significant past result (e.g., MSc thesis).

Submit all documents via the University of Twente’s academic vacancy portal before the deadline.

Last Date for Applications

  • March 5, 2025

For further information, candidates may contact Dr. Mahdi Khodadadzadeh at m.khodadadzadeh@utwente.nl or Prof. Dr. Raul Zurita-Milla at r.zurita-milla@utwente.nl.

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