PhD - Cross-Domain Hyperspectral Anomaly Detection for Manufacturing (f/m/div.)
Tasks
- Apply meta learning techniques
- Apply transfer learning techniques
- Collaborate with partners to transfer research results
- Develop data efficient scalable methods
- Develop hyperspectral anomaly detection methods
- Develop self supervised representation learning
- Implement domain generalization approaches
- Present research at international conferences
- Process hyperspectral image data
- Publish research in scientific journals
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Deep learning | Digital Signal | Digital Signal Processing | Domain Generalization | JAX | Machine Learning | Meta Learning | Probabilistic Modeling | PyTorch | Python | Representation Learning | Self-Supervised Learning | Self-supervised | Signal Processing | Supervised Learning | Transfer Learning
Education
Regions
Countries
States
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