Combining GeoAI and multi-modal LLM to retrieve spatial-temporal information from historical data
GeoAI and LLM are transforming the way we can understand and manage spatial and temporal large-scale data and territorial phenomena. The PhD project will be focused on the exploitation of historical geospatial data – from historical maps to terrestrial, aerial and satellite imagery – alongside textual sources within a multi-modality framework. By integrating AI solutions, including LLMs, VLMs and MMLLM, the project aims to extract, structure and analyze complex geospatial information and changes over urban, forestry or glacial areas. The PhD outcomes will enhance the accessibility and understanding of historical geospatial data, boost their usage and allow for comprehensive cross-disciplinary analyses and insights into historical events and territorial transformations.
This PhD opportunity is a collaboration between Fondazione Bruno Kessler and the University of Trento.
For more information on this call and how to apply, please visit the website of the University of Trento (https://www.unitn.it/en/phd/information-engineering-and-computer-science).