**Job Description**
The AI:Cybernetics Lab, part of the AI:X initiative at Aalborg University, aims to advance human-machine interfacing for robotic applications where humans and robots share control (e.g., cobots in industry and bionic limbs in health). This requires the integration of diverse data sources from the user, robot, and environment using advanced AI, developing a new paradigm for human control of complex robotic systems with high agency and minimal cognitive effort. This specific PhD project focuses on developing novel AI algorithms to decode human intention from electrophysiological signals (e.g., EMG) for intuitive control of upper-limb prosthetic devices. It involves creating machine learning methods that combine neural signals with environmental context to enable seamless object manipulation, with the objective of balancing human control and robotic assistance to reduce cognitive load while maintaining user agency during daily activities.
**Skills & Abilities**
• Strong programming skills (Python, MATLAB, and/or C++/C#)
• Knowledge of machine learning techniques, particularly for time-series data
• Experience with processing and analysis of electrophysiological signals (advantageous)
• Experience with control theory and implementation (advantageous)
• Knowledge of rehabilitation robotics or assistive technologies (advantageous)
• Background in prosthetics, human-machine interfaces, human factors, or human-in-the-loop systems (advantageous)
• Strong analytical and problem-solving skills
• Excellent written and verbal communication skills in English
• Ability to work independently and in cross-functional teams
**Qualifications**
Required Degree(s) in:
• Control Engineering
• Biomedical Engineering
• Robotics
• Related fields (Master’s degree)
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