Doctoral Student in Neuromotor Interfaces for Dexterous Robot Teleoperation (multimodal egocentric vision + EMG)

Develop interfaces for dexterous robot teleoperation by combining wrist or forearm surface electromyography with egocentric computer vision. Research covers signal processing, representation learning, motor-intent decoding, object and hand understanding, multimodal reasoning and real-time sensing. The role focuses on robotics and interactive systems; it has no clinical or biomedical focus. Candidates may also prototype wearable hardware and evaluate mixed-reality applications.

Excellent relevant master’s degree, strong programming and machine-learning foundations, and knowledge of signals and time-series analysis; English fluency.