AI for 3D Data Interpretation & Scene Understanding

University of Macerata; Italia; In loco; EUR 42.000 - 56.000; Tempo pieno

Descrizione del lavoro

University of Macerata seeks a First Stage Researcher (R1) to advance AI methodologies for processing, analyzing and interpreting three-dimensional data. The role focuses on machine learning and deep learning for classification, segmentation, and semantic understanding of 3D scenes.

The candidate should hold a PhD in Civil Engineering, Building Engineering-Architecture, Geomatics, or related fields, with proven experience in 3D modelling, photogrammetry or laser scanning, and publications in

Competenze

• PhD in Civil Engineering, Building Engineering-Architecture, Geomatics, or related fields.
• Proven research experience in 3D modelling and point cloud processing.
• Experience acquiring/processing 3D data via photogrammetry or laser scanning.
• Publications in international journals or Scopus/WoS conferences.
• Experience applying CV/ML/AI methods to 3D or geospatial data.
• Skills with 3D modelling software, point cloud processing, BIM/HBIM, GIS.
• Experience in interdisciplinary projects and collaborations with public bodies or industry.

Conoscenze

3D modelling

3D point clouds

CV/ML/AI methods

BIM/HBIM

Interdisciplinary collaboration

Formazione

PhD in Civil Engineering / Building Engineering-Architecture / Geomatics

Publications in international journals or Scopus/WoS

Descrizione del lavoro

University of Macerata seeks a First Stage Researcher (R1) to advance AI methodologies for processing, analyzing and interpreting three-dimensional data. The role focuses on machine learning and deep learning for classification, segmentation, and semantic understanding of 3D scenes.

The candidate should hold a PhD in Civil Engineering, Building Engineering-Architecture, Geomatics, or related fields, with proven experience in 3D modelling, photogrammetry or laser scanning, and publications in