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Grant and coordinated by the Principal Investigator (PI), Dr Federico Pianzola. This is an interdisciplinary project at the intersection of NLP, Digital Humanities, and Semantic Web technology. Millions
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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in the Netherlands for NLP/CL, with ties with the Media Studies group. As part of this PhD, the candidate will: Conduct independent research on the themes of the project and complete the PhD project in
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sources based on available text descriptions (NLP) and geodata; contribute to a knowledge base linking practical geographic questions to datasets and spatial transformation steps; collaborate closely with
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is an asset. A collaborative mindset and experience working in interdisciplinary environments. Preferred: Experience with advanced AI techniques (e.g. deep learning, computer vision, NLP) in agritech
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(e.g. deep learning, computer vision, NLP) in agritech applications. Familiarity with regulatory, ethical and data privacy considerations in research. If shaping sustainable agriculture with AI excites
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for tabular-native models. This can involve, for example, studying new TRL model architectures, serialization and tokenization techniques, among others. A strong interest and background in AI and/or NLP
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and