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geospatial workflows on an abstract level, using purpose-driven concepts and conceptual transformations; develop AI and machine learning based technology to automate the description and modeling of data
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deadline: 1 August 2025 Apply now In this PhD position, you will do research within the Biofabrication team with a specific focus on developing an engineered pancreatic endocrine construct to counter Type 1
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gold standard of geo-analytic purposes and questions; collaborate with a technical assistant, another PhD candidate (on geodata source modelling), and a postdoc (on the GeoQA reasoning engine). It is
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emulsion, coat it with a nanoscale separator, and fill it with cathode material. The goal is a scalable, robust fabrication method that could revolutionise battery technology and support sustainability. Your
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, material scientists, biologists, and engineers. Furthermore, you will co-supervise BSc and MSc students during their internships. Other teaching opportunities are available. You will be part of the Utrecht
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an interdisciplinary, internationally oriented team. Additionally: By the time the position starts, you have obtained an MSc degree in Earth Sciences, Civil Engineering, Environmental Science or a related field. You are
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Technology group led by Gabriele Keller external link . As our research group contains core members of the popular Accelerate and Stan DSLs for machine learning and scientific computing, newly developed
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percent of the contracted time. Your qualities We look forward to your application if you have the following qualifications: a MSc in earth sciences, hydrology, civil engineering, environmental science or a