Lead Mechatronics and Systems Engineer - Preclinical Research

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