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Gabrielle De Lannoy

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Food Security through Crop Yield Estimation and Satellite Data Assimilation (PhD & Postdoc) KU Leuven in Belgium

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

Belgium

University

KU Leuven

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Keywords

Computer Science
Environmental Science
Agriculture
Biology
Remote Sensing
Mathematics
Geography
Civil Engineering
Earth Science
Python Programming
Forecasting
Open Source Development
Food Insecurity
Statistics
Plant-soil Interaction
Physics
Machine learning

About this position

KU Leuven invites applications for PhD and postdoctoral positions in the AQUACROP-EU project, focusing on food security through crop yield estimation and satellite data assimilation. Researchers will integrate crop modeling and satellite data to develop operational online applications for yield forecasting across Europe. The project leverages AquaCrop, embedded within NASA’s Land Information System (LIS), to assimilate optical and microwave satellite observations of vegetation and soil moisture, enabling in-season ensemble yield forecasting and operational simulations for online distribution.

Successful candidates will join the Department of Earth and Environmental Sciences, Division Soil and Water Management, in the Research Group “Land Surface Remote Sensing, Modeling and Data Assimilation” led by Professor Gabriëlle De Lannoy. Collaboration with VITO (Vlaamse Instelling voor Technologisch Onderzoek) is integral, combining expertise in crop modeling and satellite data-driven crop mapping and machine learning. The KU Leuven team has a longstanding history with AquaCrop development, while VITO pioneers satellite-based agricultural applications.

PhD candidates should have a strong interest in plant-soil interactions, food security, remote sensing, and modeling, with experience in data processing or programming (Matlab, Python, IDL, GrADS, R, or similar). Postdoctoral candidates must demonstrate in-depth experience with agricultural modeling, remote sensing, large datasets, statistics, scientific computing (Python, Matlab, Fortran, C, etc.), and high-performance computing in Linux. All applicants should possess excellent motivation, creativity, critical thinking, and communication skills in English. Experience with open source code distribution (e.g., GitHub) is valued.

The offer includes a fully funded PhD scholarship for 4 years or a postdoc position for 2 years (with possible 1 year extension), competitive salary, and support through the Arenberg Doctoral School. The start date is negotiable, but no later than September 2026. The research environment is multidisciplinary and international, with opportunities for career development and collaboration. Leuven, a historic university town in Western Europe, provides a vibrant academic setting.

Applicants should submit a resume, motivation letter, and two references via the KU Leuven online application tool. PhD applicants must include study grades; postdoc applicants should provide evidence of scientific achievements. MSc students graduating in summer 2026 are encouraged to apply. For further information, contact Professor Gabriëlle De Lannoy at [email protected].

KU Leuven is committed to diversity, inclusion, and equal opportunity, fostering a respectful and socially safe environment for all. Accessibility and support inquiries are welcomed.

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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