Artificial Intelligence Methodologies For The Analysis And Interpretation Of 3d Data
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.
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.