Jobs / United Kingdom / Netholabs
Lead Mechatronics and Systems Engineer - Preclinical Research
Netholabs · 🇬🇧 London
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- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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Sponsor Radar — Netholabs
This employer posted directly and does not match a government sponsor register.
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About the role
Type: Fixed-term or Full-time Location: London · On-site · May require occasional travel 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 • Implement and maintain streamlined, minimal capture protocols • Import and operationalize best-practice standards for human mocap • Prepare and run recording sessions • Maintain clear SOPs and documentation • Ensure sessions are reproducible and well logged Hardware & Systems • Set up and maintain motion-capture and neurophysiological recording systems • Integrate all devices on a shared clock (video, kinematics, physiological streams) • Troubleshoot signal, sync, and capture-quality issues • Assemble and maintain multi-camera / multi-sensor rigs • Manage equipment inventory, calibration, and camera setup Infrastructure • Oversee lab layout and capture-space setup • Maintain structured data storage, formats, and backups • Coordinate procurement and supplier communication Requirements Core (essential) • Experience with human motion capture (marker-based, markerless/computer-vision, or IMU-suit systems) • Multi-camera calibration and time synchronization • Strong hardware troubleshooting ability • Comfortable with embedded systems • Basic Python scripting • Organized and systematic; disciplined about documentation and reproducibility Valued • Hand / finger kinematics capture and video pipelines • Structured data formats (e.g. HDF5) and reproducible data logging • Experience with physiological recording systems (EEG or similar), or willingness to cross-train Find Jobs in United Kingdom on Arbeitnow