Artificial Intelligence Methodologies For The Analysis And Interpretation Of 3d Data
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Organisation/Company University of Macerata Research Field Technology » Dating techniques Researcher Profile First Stage Researcher (R1) Positions Other Positions Application Deadline 28 Oct 2026 - 13:00 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No Offer Description The research activity will focus on the study, development and validation of Artificial Intelligence methodologies for the processing, analysis and interpretation of three-dimensional data. Machine learning and deep learning techniques will be investigated for classification, semantic segmentation, object and structure recognition, automatic extraction of geometric and semantic features, and 3 D scene understanding.
The research will also address methodologies for integrating heterogeneous 3 D data, assessing model reliability and robustness, and exploiting multimodal approaches and foundation models for semantic enrichment and automated interpretation of three-dimensional information.
- Ph D in Civil Engineering, Building Engineering-Architecture, Geomatics, or related fields.
- Proven research experience in 3 D modelling and 3 D point cloud processing, management, and analysis.
- Experience in the acquisition and processing of 3 D data through photogrammetry, laser scanning, or other 3 D surveying techniques.
- Scientific publications in international journals or conferences indexed in Scopus/Wo S.
- Experience in applying Computer Vision, Machine Learning, or Artificial Intelligence methods to 3 D data, point clouds, or geospatial data.
- Skills in software and tools for 3 D modelling, point cloud processing, BIM/HBIM, GIS, and spatial data management.
- Experience in interdisciplinary research projects, collaborations with public bodies or companies, or technology transfer activities.
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