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Master Thesis "Material Aware Inline 3D Imaging"(m/w/x)
Material-aware inline 3D imaging research using multispectral imaging and Gaussian Splatting. Master's studies in relevant technical fields required. Hands-on experience with cutting-edge imaging technologies.
Requirements
- Ongoing master's studies in Geodesy/Geoinformation, Computer Vision/Image Processing, Computer Science, Physics, Mathematics or similar
- Good knowledge in computer vision and/or image processing
- Interest in machine vision, computer graphics, and machine learning
- Experience in Python, C++, CUDA, OpenCV, or Blender advantageous
- Hands-on lab work experience with image acquisition advantageous
- Experience in material aware object representation advantageous
- High commitment and team spirit
- Very good English skills (spoken and written)
Tasks
- Acquire basic skills in inline optical 3D imaging
- Conduct literature search on optical detection and reconstruction
- Explore material aware Gaussian Splatting and related methods
- Utilize multispectral imaging for fast inline quality control
- Access machine vision lab for experiments
- Use digital-twin blender model to collect datasets
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- CUDA
- OpenCV
- Blender
- Gaussian Splatting
- RefGS
- 3DGSDR
- GShader
- Ref-Gaussian
- Material-Informed GS
Benefits
Other Benefits
- Additional company benefits
- Hands-on experience with cutting-edge imaging technologies
- Well-established research setting
Purpose-Driven Work
- Real-world research challenge
Mentorship & Coaching
- Mentoring
- Joint supervision
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Master Thesis "Material Aware Inline 3D Imaging"(m/w/x)
Material-aware inline 3D imaging research using multispectral imaging and Gaussian Splatting. Master's studies in relevant technical fields required. Hands-on experience with cutting-edge imaging technologies.
Requirements
- Ongoing master's studies in Geodesy/Geoinformation, Computer Vision/Image Processing, Computer Science, Physics, Mathematics or similar
- Good knowledge in computer vision and/or image processing
- Interest in machine vision, computer graphics, and machine learning
- Experience in Python, C++, CUDA, OpenCV, or Blender advantageous
- Hands-on lab work experience with image acquisition advantageous
- Experience in material aware object representation advantageous
- High commitment and team spirit
- Very good English skills (spoken and written)
Tasks
- Acquire basic skills in inline optical 3D imaging
- Conduct literature search on optical detection and reconstruction
- Explore material aware Gaussian Splatting and related methods
- Utilize multispectral imaging for fast inline quality control
- Access machine vision lab for experiments
- Use digital-twin blender model to collect datasets
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
- CUDA
- OpenCV
- Blender
- Gaussian Splatting
- RefGS
- 3DGSDR
- GShader
- Ref-Gaussian
- Material-Informed GS
Benefits
Other Benefits
- Additional company benefits
- Hands-on experience with cutting-edge imaging technologies
- Well-established research setting
Purpose-Driven Work
- Real-world research challenge
Mentorship & Coaching
- Mentoring
- Joint supervision
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
AIT Austrian Institute of Technology
Industry
Research
Description
Das AIT ist Österreichs größte Forschungs- und Technologieorganisation für angewandte Forschung, die sich auf die Lösung von Herausforderungen in Klimawandel und Digitalisierung konzentriert und einen Beitrag für Wirtschaft und Gesellschaft leistet.
Not a perfect match?
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