Type: Fixed-term or Full-time
Location: London · On-site · May require occasional travel
Compensation: £65–85k/year, in accordance with experience
The Role
We are building integrated human and non-human motion-capture and neurophysiological recording systems for both controlled lab studies and naturalistic, in-the-wild data collection.
We are looking for an experienced researcher engineer that is hands-on to own the London capture site across both lab and field settings: set up and run the hardware, import and enforce best-practice capture protocols, and ensure every session executes reliably and reproducibly. This is an operational role: you'll take defined capture standards and make them run at scale, not design the science.
Responsibilities
Experimental Operations
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Implement and maintain streamlined, minimal capture protocols
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Import and operationalize best-practice standards for human mocap
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Prepare and run recording sessions
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Maintain clear SOPs and documentation
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Ensure sessions are reproducible and well logged
Hardware & Systems
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Set up and maintain motion-capture and neurophysiological recording systems
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Integrate all devices on a shared clock (video, kinematics, physiological streams)
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Troubleshoot signal, sync, and capture-quality issues
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Assemble and maintain multi-camera / multi-sensor rigs
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Manage equipment inventory, calibration, and camera setup
Infrastructure
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Oversee lab layout and capture-space setup
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Maintain structured data storage, formats, and backups
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Coordinate procurement and supplier communication
Requirements
Core (essential)
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Experience with human motion capture (marker-based, markerless/computer-vision, or IMU-suit systems)
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Multi-camera calibration and time synchronization
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Strong hardware troubleshooting ability
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Comfortable with embedded systems
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Basic Python scripting
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Organized and systematic; disciplined about documentation and reproducibility
Valued
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Hand / finger kinematics capture and video pipelines
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Structured data formats (e.g. HDF5) and reproducible data logging
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Experience with physiological recording systems (EEG or similar), or willingness to cross-train
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Lead Mechatronics and Systems Engineer - Preclinical Research employer: Netholabs Ltd
Netholabs is an exceptional employer for those passionate about the intersection of neuroscience and AI, offering a research-driven environment that fosters innovation and creativity. With a flexible hybrid work setup in London, employees enjoy competitive salaries, equity participation, and the chance to contribute to groundbreaking technology that has a real human impact. The small, interdisciplinary team promotes collaboration and personal growth, making it an ideal place for engineers eager to make meaningful contributions.
