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Publisher
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Utrecht University

PhD in Hybrid Machine Learning for Global Soil Mapping Utrecht University in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 6, 2026

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Country

Netherlands

University

Utrecht University

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Keywords

Computer Science
Environmental Science
Agriculture
Soil Science
Geography
Artificial Intelligence
Earth Science
Python Programming
Earth Observation
Ecological Modeling
Statistics
Geospatial Information
Machine learning

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About this position

Utrecht University is advertising a PhD position in Hybrid Machine Learning for Global Soil Mapping in the Department of Physical Geography. The project sits at the intersection of soil science, geography, environmental science, machine learning, GeoAI, and geospatial data science, with additional relevance to earth observation, computational geography, and environmental modelling.

The post is aimed at candidates interested in developing hybrid ML approaches for mapping soils at global scale. Useful skills likely include programming and data analysis in Python and/or R, spatial data handling, and quantitative modelling. The announcement does not mention funding details, so applicants should check the vacancy page for salary, contract length, and project specifics.

Application deadline: 6 September 2026.

How to apply: Use the Utrecht University vacancy link in the post and submit your application through the official job page before the deadline.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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