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PhD in Spatial Statistics for IoT and Remote Sensing of Tree Crop Diseases at Twente, Netherlands

Project Overview

About the Position

This ITC doctorate develops spatial-statistical methods for combining IoT measurements, remote sensing and field observations to understand diseases in tree crops. Cocoa farms in Ghana provide a central application.

Research Position Overview

Help establish a sensor network, handle misaligned and incomplete observations, and compare model transferability with tree crops in Dutch food forests. The work links statistical modelling with environmental field data.

Research Areas

  • Spatial and spatiotemporal statistics
  • IoT and Earth observation
  • Cocoa disease mapping

Funding and Duration

Employment and financial support
ComponentDetails
PositionPhD employee
Salary€3,204–€4,051 gross/month, increasing with doctoral year.
DurationFour years, full-time; qualifier after six to nine months.
Benefits8% holiday allowance, 8.3% year-end bonus and pension.
Programme / host supportDutch sector-plan position in ITC’s Environmental Resources department.

Eligibility and Requirements

Academic preparation and skills
ComponentDetails
Applicant eligibilityWorldwide, subject to the official qualifications and recruitment checks.
Academic preparationRelevant MSc in geoinformation, Earth observation, spatial statistics, modelling or machine learning.
Research skillsPython or R, multi-source data integration and willingness to collect field data.
LanguageExcellent English communication; IELTS is not singled out in the advert.

Application dates

Recruitment dates and location
ComponentDetails
Recruitment statusOpen when verified against the official source
DeadlineBefore 31 October 2026; vacancy summary lists 30 October.
Start dateNot specified in the vacancy.
LocationEnschede, Netherlands

Contact

Questions about this position, eligibility or the application process should be raised through the contact channel given on the official announcement page (see the Official Link section above). Always quote the position reference in your message so the admissions or HR team can route your enquiry quickly.

Important Notes

  • Application deadline: Before 31 October 2026 - late or incomplete applications are normally not considered.
  • Listing details were recorded from the official source at the time of publication; always confirm the latest requirements on the official page before applying.
  • Prepare the documents listed in the eligibility and application sections before starting the online form - transcripts, CV and references take the longest to collect.

How to Apply

  • Motivation letter: maximum one page.
  • CV with courses/grades, two reference contacts, and an example of scientific writing.

Submit through the application button on the official recruitment page.

Selection and Contact

The faculty states a selection preference for women who meet the profile.

Project contact: Dr Frank Osei or Professor Wieteke Willemen.

About University of Twente

ITC is Twente’s Faculty of Geo-Information Science and Earth Observation. The host department studies environmental resources through geospatial research.

Official Link

Vacancy details verified against the official source. The employer’s notice governs recruitment terms.

Read the official vacancy and apply

Application guides

English language requirements

Twente's Graduate School asks for official English test results - IELTS Academic 6.5 or TOEFL iBT 90 are the usual benchmarks - unless you completed both your secondary and tertiary education in English, in which case the test can be waived on that evidence.

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Frequently asked questions

Drawn from this listing's own record. Always confirm the details on the official source before applying.

What is the deadline for PhD in Spatial Statistics for IoT and Remote Sensing of Tree Crop Diseases at Twente, Netherlands?

The application deadline is 30 October 2026 (Before 31 October 2026). Applications received after that date are not considered, so treat it as a hard cut-off and leave time for references and transcripts. Closing time not specified — confirm with the provider before you leave it until the last day: the source gives neither a closing time nor a time zone.

Is PhD in Spatial Statistics for IoT and Remote Sensing of Tree Crop Diseases at Twente, Netherlands fully funded?

This is a fully funded award: tuition is covered and a living stipend is provided for the duration of the programme. €3,204–€4,051 gross/month, increasing with doctoral year..

Who is eligible to apply for PhD in Spatial Statistics for IoT and Remote Sensing of Tree Crop Diseases at Twente, Netherlands?

This opportunity is open to applicants worldwide. Host-country status is not a requirement, although you must still satisfy the visa rules for Netherlands. Applications are assessed by University of Twente.

How do I apply for PhD in Spatial Statistics for IoT and Remote Sensing of Tree Crop Diseases at Twente, Netherlands?

Applications for PhD in Spatial Statistics for IoT and Remote Sensing of Tree Crop Diseases at Twente, Netherlands are submitted directly to University of Twente through the provider's own application portal — use the Apply button on this page to open it. NextApply does not process applications or charge a fee.

Is an English proficiency test required for PhD in Spatial Statistics for IoT and Remote Sensing of Tree Crop Diseases at Twente, Netherlands?

Yes — an English-language certificate is required for this listing. Check the exact band expected on the official source, since it can differ by programme. Requirements for Netherlands are published by the provider.

What study level does PhD in Spatial Statistics for IoT and Remote Sensing of Tree Crop Diseases at Twente, Netherlands offer?

This listing is offered at PhD level. That describes the qualification on offer, not a credential you must already hold — check the provider's stated entry requirements before applying.

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University of Twente

University of Twente is a public university in Enschede, the Netherlands. It offers undergraduate, master's and doctoral programmes combining engineering, technology and social sciences. Its research connects technical innovation with human and societal needs, including work in digital systems, health and sustainability, supported by collaboration with industry and academic partners.

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