Program Description:
Title: University of Twente PhD Scholarship In Geo Artificial Intelligence
Application Deadline: 5th March 2025
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The University of Twente wants to be an organization that effectively deploys diversity, talents, and capabilities in the labor market for now and in the future. In the framework of our diversity and inclusiveness policy, we strongly stimulate people with a (work) disability to apply for this position.
The University of Twente is committed to providing a working environment where everyone is valued, respected, and supported to progress. Our priority is to ensure that no one is disadvantaged based on their ethnicity, gender, culture, disability, LGBTQ+ identities, family and caring responsibilities, age, or religion. We encourage everyone who shares these values to apply.
Your challenge
You will help us realize the ambitions of the EARTHONE (Environmental Analysis and Resilience for Transformative Human-Optimized Natural Environments) Horizon Europe project from a geospatial perspective.
EARTH ONE will contribute to optimizing the net removal of Greenhouse gas emissions by assessing the contribution of sustainable land-use changes in different environments. To achieve this, EARTHONE will follow a multidisciplinary and multiscale approach, integrating innovative data-driven technologies with regional context through a series of living labs in Southern Europe.
You will conduct a comprehensive vegetation seasonality (phenology) study at regional and local scales to better understand how vegetation responds to climate change by integrating and analyzing climate simulations, weather and remotely sensed products, and ground observations collected from the existing networks and the project living labs. You will start by mapping the main phenological regions in Europe. Then you will focus on modelling the role of extreme weather events and land use change on vegetation seasonality and efficiency. For this, you will develop and apply geo-artificial intelligence methods, including spatiotemporal machine learning techniques, and gather and integrate experienced knowledge from climate modellers, foresters, soil scientists and agronomists.
Your profile
* An MSc degree in geospatial, computer, or environmental sciences, or any other related field
* A strong passion for data-driven analysis coupled with excellent programming skills (preferably Python) and knowledge of and experience with the design and implementation of machine learning models
* A background in geospatial modeling, spatial statistics ,and machine/deep learning
* The ability to work on real-world problems in an interdisciplinary and internationally oriented environment
* Good communication skills and an excellent command of English. Fluency in Dutch or willingness to learn Dutch is a plus
* Climate change and ecological and/or phenological knowledge are a plus
Interested and motivated candidates are encouraged to apply, even when they must possess all desired skills. You can develop relevant skills on the job through dedicated learning and doctoral training.
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