Postdocs in Computer Vision and Embodied AI for Autonomous Agricultural Robotics - DTU Electro
Tasks
- Build 3D scene understanding models
- Conduct 3D perception research
- Develop autonomous navigation algorithms
- Develop localization and control pipelines
- Develop robust perception in outdoor environments
- Explore vision language models for semantic reasoning
- Implement real time perception and navigation
- Investigate end to end learning for control
- Mentor and co supervise graduate students
- Perform multi modal sensor fusion
- Publish research findings
- Support vision language action for planning
- Validate robotic solutions in field experiments
Perks/Benefits
- Academic freedom
- Collegial respect
- Field research opportunities
- International work environment
- Mentoring experience
Skills/Tech-stack
3D Point Cloud Processing | 3D Scene | 3D Scene Understanding | 3D point cloud | C++ | Cloud processing | Computer Vision | Deep learning | Docker | Edge Computing | Foundation Models | Git | Language Models | Linux | Localization | Machine Learning | Multi-Modal | Multi-modal Sensor Fusion | Point Cloud Processing | PyTorch | Python | Scene Understanding | Sensor fusion | Trajectory Optimization | Vision Language Models | Vision-language | Vision-language-action
Education
Roles
Postdoctoral Researcher | Research Scientist | Researcher | Scientist
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