Research Scientist, Sensor and Systems Robotics (PhD)
Tasks
- Build tactile and multimodal sensing models
- Create end-to-end robotics applications
- Deploy efficient models to robotic systems
- Design planning and control algorithms
- Develop dynamic in hand manipulation systems
- Develop machine learning models for robotics
- Develop perception and collision avoidance methods
- Integrate research into robotic prototypes
- Research novel robotic architectures
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Collision Avoidance | Communication Protocols | Computer Vision | Control Systems | Deep learning | Embedded Systems | Imitation Learning | Language Models | Machine Learning | Multimodal Learning | Multimodal Perception | Optimization Algorithms | Planning | PyTorch | Python | ROS | Reinforcement Learning | Representation Learning | Robotics | Robotics simulation | Self-Supervised Learning | Self-supervised | Supervised Learning | Tactile sensing | TensorFlow | Vision Language Models | Vision-language
Education
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