PhD in Spatial Statistics IoT, Field Sensors and Remote Sensing
Netherlands
Listed on 2026-10-11
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Research/Development
Data Scientist, Research Scientist, Robotics
University of Twente
· Faculty of Geo-Information Science and Earth Observation (ITC)
Netherlands
Apply by 30 Oct 2026
About This Opportunity
The University of Twente is recruiting a doctoral candidate to develop spatial-statistical methods that integrate IoT field sensors and remote sensing for nature-inclusive management of tree-crop diseases. Applications close on 30 October 2026 at 23:59 Europe/Amsterdam.
The project develops spatial and spatiotemporal statistical methods to integrate field observations, IoT sensors, airborne or satellite remote sensing and other heterogeneous data for monitoring cocoa disease in Ghana and transferring methods to nature-inclusive systems in the Netherlands.
spatial statistics remote sensing IoT sensors cocoa disease nature-inclusive agriculture
Level PhD
Attendance Field-based
Time Commitment Full-time
Duration 4 years
Reference Code 2608
Field Spatial Statistics and Remote Sensing for Tree Crop Disease
Organization Type University
Funding & Compensation
Amount EUR / Per Month
Funding Type Salary
Funding Status Paid
Period Per Month
Requirements EducationApplicants should hold an MSc in geo-information science, Earth observation, geospatial data science or a closely related field.
ExperienceExperience with spatial or spatiotemporal modelling, spatial statistics and/or machine learning is expected, together with the ability to integrate multi-temporal and multi-spatial datasets.
Technical Skills- Spatial statistics
- Spatiotemporal modelling
- Remote sensing
- IoT sensor integration
- Python
- R
- Machine learning
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