Research Scientist, Sensor and Systems Robotics (PhD)
Tasks
- Advance dynamic in hand manipulation
- Build machine learning models for dexterous manipulation
- Create robotics sensing and intelligence paradigms
- Debug software hardware robotics systems
- Develop deployable efficient models
- Develop multimodal sensing perception models
- Develop planning and control algorithms
- Explore novel robotic architectures
- Integrate research into robotic system prototypes
- Research sensors and robotic system architectures
Perks/Benefits
Skills/Tech-stack
C++ | Collision Avoidance | Communication Protocols | Computer Vision | Control Theory | Deep learning | Embedded Systems | Imitation Learning | Language Models | Machine Learning | Multimodal Learning | Multimodal Perception | Operating System | Optimization Algorithms | Planning and control | PyTorch | Python | Reinforcement Learning | Representation Learning | Robot Operating | Robot Operating System | Robotics simulation | Self-Supervised Learning | Self-supervised | Supervised Learning | Tactile sensing | TensorFlow | Vision Language Models | Vision-language
Education
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