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Staff Job Description A Glimpse of the Job The BIM Building Modeling Coordinator utilizes 3D Point Cloud Laser scanning technology to verify University space, update existing floorplans, and ensure
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automatic interpretation of measurement data. A cornerstone of our systems is the automated, AI-driven interpretation of 3D point cloud data, which requires high-quality training datasets and, ideally, model
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of achieving Norwegian skills at at least this level. Main responsibilities Develop machine learning architectures that interpret 3D point cloud data incrementally, for real-time use, building an understanding
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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a strong background in artificial intelligence and 3D computer vision, with solid programming skills and an interest in 3D data processing (e.g. point clouds and neural scene representations), along
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data (plans, images, point clouds) with artificial intelligence and integrating them into a BIM-based model. Become a part of our team and join us on our journey of research and innovation! Be part of
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monitoring, wearables, ambulatory assessment) Experience building real-time or near-real-time data quality dashboards or monitoring tools Experience with signal processing or automated feature extraction from
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scholars/fellows on the status of research. Collect and log laboratory results and/or survey data. Evaluate and perform data analysis using graphs, charts, or tables to highlight the key points
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Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
in one or more of the following: Point-cloud libraries, OpenCV, 3D rendering pipelines and deep-learning frameworks Good oral and written communication skills in English Enjoyment of collaborative work