Hilase Centre
Czechia
Laser Development Engineer
- Assembly
- Data Analysis
- Matlab
- Python
AI Summary
Develop methods for decoding high-density surface EMG into continuous measures of human movement, force, and motor intent. Investigate the temporal relationship between neuromuscular activity and mechanical movement, and develop models to exploit it. Requires 3+ years of relevant professional experience with EMG, signal processing, and machine learning for time-series data.
Key Highlights
Develop signal-processing and machine-learning methods for decoding HD-sEMG.
Characterise temporal relationship between neuromuscular activity and mechanical movement.
Requires 3+ years of relevant professional experience with EMG and ML.
Key Responsibilities
Develop signal-processing and machine-learning methods for decoding HD-sEMG into continuous force, joint kinematics and motor intent.
Characterise the temporal relationship between neuromuscular activity and mechanical movement.
Design experiments to quantify the reliability, information content and limits of anticipatory information in sEMG.
Develop preprocessing and signal-quality methods for multi-channel EMG.
Evaluate model robustness across operators/subjects, sessions, movements and sensor configurations.
Develop methods for cross-operator, cross-session and cross-condition generalisation.
Collaborate closely with the robotics ML team to translate biosignal representations and decoded intent into inputs suitable for RAI.
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Technical Skills Required
Benefits & Perks
Unlimited Paid Time Off
Work visa sponsorship
Relocation assistance
Complimentary lunch
Coffee, snacks, and drinks
Conference budget
GPU workstation
Cluster access
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Nice to Have
PhD or equivalent research experience
Experience with high-density sEMG / electrode arrays
Experience with multi-channel EMG decomposition
Experience decoding force, torque, joint kinematics or motor intention from biosignals
Background in motor control, biomechanics or human movement science
Experience with wearable sensing and human-subject experiments
Experience with domain adaptation, calibration or cross-subject generalisation
Familiarity with real-time inference and latency constraints
Experience deploying ML models outside purely offline research environments
Job Description
About REVEL
REVEL is an AI robotics company developing physical intelligence for general-purpose humanoid robots. We capture the force, dexterity and intent of human work with our Neural Gambit wearable, and use it to train RAI, the intelligence that powers our robots. Our R&D and engineering facilities are in Prague, Czech Republic. This role is on-site with our engineering team in the Czech Republic.
The intent layer is REVEL's core differentiator: reading neuromuscular signals 30-100 ms before motion. We're looking for a scientist to decode high-density surface EMG into force and intent.
The Role
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