PhD: Neuromotor Interfaces for Dexterous Robot Teleoperation

Immigration Policy Lab; Zürich; On-site; CHF 42,000 - 54,000; Full time

Job summary

ETH Zurich invites applications for a fully funded PhD position at the intersection of robotics, wearable sensing, signal processing, machine learning, and human-computer interaction. The project focuses on developing neuromotor interfaces using surface EMG for dexterous robot teleoperation, augmented by egocentric vision, with emphasis on multimodal learning and real-time inference.

The successful candidate will build robust computational methods, contribute to neuroscience-inspired control,

Qualifications

• Excellent master's degree in Computer Science, Electrical Engineering, Robotics or related field.
• Written and spoken fluency in English.
• Strong foundation in machine learning, graphical models, or time-series analysis.

Responsibilities

• Develop signal-processing and machine-learning methods for multichannel EMG.
• Develop egocentric computer-vision methods for hands, objects, and interactions.
• Develop multimodal learning and reasoning combining EMG with egocentric vision.
• Investigate reasoning over actions and task state to infer intent and guide robot teleoperation.
• Publish results and disseminate findings in top-tier venues.

Skills

Machine learning

Signals and time-series data

Programming skills

Real-time sensing

Education

Master's degree in CS/EE/Robotics

Job description

ETH Zurich invites applications for a fully funded PhD position at the intersection of robotics, wearable sensing, signal processing, machine learning, and human-computer interaction. The project focuses on developing neuromotor interfaces using surface EMG for dexterous robot teleoperation, augmented by egocentric vision, with emphasis on multimodal learning and real-time inference.

The successful candidate will build robust computational methods, contribute to neuroscience-inspired control,