Lead Mechatronics and Systems Engineer - Preclinical Research
Netholabs · London · Onsite
What they ask for
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
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