PhD Candidate: Neuromotor Interfaces for Dexterous Teleoperation

1000scholars; Zürich; On-site; CHF 42,000 - 48,000; 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 focus is on neuromotor interfaces for dexterous robot teleoperation using surface EMG and egocentric vision.

The PhD will develop robust multimodal learning methods, real-time inference, and applications in Mixed Reality, with opportunities to prototype sensing systems and collaborate across Switzerland and

Qualifications

• English fluency (written and spoken).
• Master's degree in CS, EE, Robotics, or related field.
• Strong foundation in machine learning, including classification and regression, model evaluation, representation learning, and generalization.
• Solid understanding of signals and time-series data (sampling, frequency, phase, noise, spectral representations, filtering).
• Strong programming skills and experience implementing and evaluating computational methods.
• Interest in building real-time sensing and interactive systems.

Responsibilities

• Develop signal-processing and machine-learning methods for multichannel EMG, including discrete and continuous decoding of hand and finger activity.
• Develop egocentric computer-vision methods for understanding hands, objects, hand–object interactions, contacts, affordances, and task state.
• Develop multimodal learning and reasoning methods that combine EMG with egocentric vision to infer motor intent and interaction context.
• Investigate reasoning over objects, actions, interaction sequences, and task state to resolve ambiguous motor signals and anticipate intended actions.
• Apply methods to dexterous robot teleoperation, including mapping human motor intent to robot manipulators and dexterous hands.
• Prototype wearable sensing systems, including electrode configurations, signal acquisition, embedded processing, and hardware/software integration (huge plus).
• Disseminate findings in publications and open-source tools; present at conferences and seminars.

Skills

Machine learning foundation

Time-series analysis

Programming skills

Real-time sensing

Education

Master's degree in CS/EE/Robotics or related field

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 focus is on neuromotor interfaces for dexterous robot teleoperation using surface EMG and egocentric vision.

The PhD will develop robust multimodal learning methods, real-time inference, and applications in Mixed Reality, with opportunities to prototype sensing systems and collaborate across Switzerland and