
Scientific Analysis of Archaeological 3D Scans
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$30/hr
- Posted:
- Proposals: 12
- Remote
- #4499394
- Awarded
Data Scientist | Power BI Developer | Python Expert | Machine Learning Engineer | Data Analytics Consultant
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Description
Experience Level: Intermediate
I am looking for an individual specialist, not a company, to become a long term collaborator on a research project involving archaeological stone surfaces and high resolution 3D scans.
The work involves analysis of large point clouds and mesh models from archaeological sites, including ancient Egyptian stone quarries and monuments.
Key requirement:
The analyst must be able to work at multiple scales.
Many providers can analyse either an entire scan or a very small microscopic area. This project requires the ability to isolate, extract and analyse specific surface features within large scans. Examples include grooves, curved wear surfaces, edge transitions, flat wear zones, concave features and other localized geometries.
Required skills:
• Point cloud processing
• Mesh analysis
• Surface geometry analysis
• Cross section extraction
• Curvature analysis
• Directionality and anisotropy analysis
• Surface roughness analysis
• Segmentation of specific features from larger scans
• Scientific visualization and figure production
• Python, MATLAB, CloudCompare, Geomagic, MeshLab or similar tools
Preferred background:
• Geomatics
• Computational geometry
• Mechanical engineering
• Materials science
• Archaeometry
• Digital heritage
• Scientific computing
The ideal collaborator is curious, analytical and interested in developing new methods rather than simply running standard software workflows.
This is intended as a long term collaboration. Initial work will be project based, but the goal is to establish an ongoing working relationship with a single specialist.
When applying, please provide:
Examples of previous point cloud or mesh analysis work.
Description of software and methods used.
Experience with scientific publications or research projects.
Hourly rate.
Availability for long term collaboration.
The work involves analysis of large point clouds and mesh models from archaeological sites, including ancient Egyptian stone quarries and monuments.
Key requirement:
The analyst must be able to work at multiple scales.
Many providers can analyse either an entire scan or a very small microscopic area. This project requires the ability to isolate, extract and analyse specific surface features within large scans. Examples include grooves, curved wear surfaces, edge transitions, flat wear zones, concave features and other localized geometries.
Required skills:
• Point cloud processing
• Mesh analysis
• Surface geometry analysis
• Cross section extraction
• Curvature analysis
• Directionality and anisotropy analysis
• Surface roughness analysis
• Segmentation of specific features from larger scans
• Scientific visualization and figure production
• Python, MATLAB, CloudCompare, Geomagic, MeshLab or similar tools
Preferred background:
• Geomatics
• Computational geometry
• Mechanical engineering
• Materials science
• Archaeometry
• Digital heritage
• Scientific computing
The ideal collaborator is curious, analytical and interested in developing new methods rather than simply running standard software workflows.
This is intended as a long term collaboration. Initial work will be project based, but the goal is to establish an ongoing working relationship with a single specialist.
When applying, please provide:
Examples of previous point cloud or mesh analysis work.
Description of software and methods used.
Experience with scientific publications or research projects.
Hourly rate.
Availability for long term collaboration.
Frank Daniel B.
100% (41)Projects Completed
37
Freelancers worked with
36
Projects awarded
65%
Last project
15 Jul 2026
Norway
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