PhD Thesis - Industrial vision system for advanced surface inspection

Tasks

• Address class imbalance and scarce labeled data
• Benchmark sensor fusion strategies
• Build acquisition to decision pipeline
• Design real time data fusion pipeline
• Develop multimodal deep learning architectures
• Evaluate industrial hardware and software frameworks
• Integrate vision system into production line
• Investigate 3D acquisition principles
• Optimize low latency edge inference
• Provide buy vs build recommendations
• Study illumination spectra

Perks/Benefits

• Professional development
• Relocation support
• Research training

Skills/Tech-stack

3D Reconstruction | 3D metrology | C# | C++ | Computer Vision | Data Fusion | Data Generation | Deep Neural Networks | Deep learning | Defect Detection | Edge Computing | FPGA | GPU | Image Processing | Image fusion | Infrared Thermography | Laser profilometry | Line Scan | Line Scan Cameras | Low Latency | Low latency computing | Multimodal Learning | Multispectral imaging | Network architectures | Neural Network | Neural Network Architectures | Neural Networks | Optics | Python | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Supervised Learning | Synthetic Data Generation | Synthetic data